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We are seeking an experienced product safety, regulatory compliance, and certification professional to assist with review of the product and also review our US certification and launch readiness strategy.

This is not a general research or checklist-generation assignment. We are only interested in candidates who have personally supported the certification, testing, or regulatory approval of physical consumer products for the U.S. market.


Strongly Preferred Background

The strongest candidates will have previously worked for, or worked extensively with, a recognized testing and certification organization such as:

UL Solutions
Intertek / ETL
CSA Group
TÜV Rheinland or TÜV SÜD
SGS
Bureau Veritas
Another OSHA-recognized Nationally Recognized Testing Laboratory, or NRTL

Former product safety engineers, certification engineers, test engineers, project engineers, or technical reviewers from these organizations are especially encouraged to apply.

Direct experience with consumer robotics, service robots, autonomous equipment, connected appliances, battery-powered products, motorized consumer products, or products used around children and pets is highly preferred.

Experience with European CE conformity assessment may be useful, but demonstrated experience with U.S. certification and regulatory requirements is mandatory.


SCOPE:

The initial engagement will be a focused consultancy and product review. The consultant will review available system documentation, meet with engineering team, identify major compliance and product safety risks, and recommend changes to the existing certification and testing strategy for deployment in U.S. homes.


Potential Longer-Term Engagement

The initial assignment is intended to determine product risks and establish the certification strategy. Successful completion could lead to a longer-term contract supporting:

Detailed design reviews
Hazard analysis and risk-control verification
Preparation for NRTL evaluation
Communication with UL, Intertek, or other laboratories
Review of test plans, samples, and laboratory findings
Resolution of failed tests or certification findings
Supplier and critical component reviews
Production change control
U.S. launch readiness
Post-launch product safety and compliance support

I am looking for a skilled Mechanical Engineer to assist with the design, automation, and simulation of a structural metamaterial wall intended for a soft robotics manipulator. The core geometry has already been conceptualized (reference images of the single wall and the full radial assembly will be provided).

To provide a clear understanding of the scope, the current 10x scaled dimensions for the 3D printable model are as follows:

Overall Outer Radius: 65.0 mm (Inner radial offset: 10.0 mm)

Metamaterial Height: 60.0 mm

Top/Bottom Rigid Plates: 3.0 mm thickness each

Wall Extrusion Depth: 10.0 mm

Strut Thickness: 2.0 mm

Configuration: 6 radial walls, each consisting of a 3x3 unit cell array.

The project requires recreating the model in CAD, writing a script for automated dimensional adjustments, performing structural simulations, and producing final manufacturing drafts.

Project Milestones (Total Fixed Budget: $100):

Milestone 1: 3D CAD Modeling & 3D Print Preparation ($25)

Draft the 3D model of the metamaterial wall and the complete assembly using SolidWorks based on the provided dimensions.

Ensure the geometry avoids zero-thickness errors and is fully optimized for 3D printing.

Deliverables: Standard STEP files and high-resolution STL files ready for slicing.

Milestone 2: Parametric Scripting & Automation ($25)

Develop a script (using Python, CadQuery, or SolidWorks API/macros) to automate the generation of the wall geometry.

The script must allow for rapid iteration by changing key parameters (e.g., unit cell dimensions, wall thickness, depth, and number of rows/columns) to instantly output updated CAD files.

Deliverables: Clean, well-commented source code/script and instructions for execution.

Milestone 3: Finite Element Analysis (FEA) ($25)

Perform structural analysis on a single metamaterial wall using Abaqus, COMSOL Multiphysics, or ANSYS.

Evaluate stress distribution, bending behavior, and deformation under applied loads.

Deliverables: Simulation source files, a brief report outlining the methodology, and contour plots of the results.

Milestone 4: Manufacturing Drawings ($25)

Create detailed 2D technical drawings for the parts and the final assembly.

Include all necessary dimensions, tolerances, and assembly notes.

Deliverables: PDF drawing sheets and native drawing files.

Required Skills:

Expertise in SolidWorks.

Strong programming skills for CAD automation (Python).

Experience setting up and solving structural problems in Abaqus, COMSOL, or ANSYS.

Solid understanding of Design for Additive Manufacturing (DfAM).

Please include a brief overview of your experience with parametric modeling and FEA in your proposal.

We're looking for a Mumbai-based Venue Operations & Data Collection Coordinator to manage on-site data collection sessions for our robotics and embodied AI datasets.

This role is ideal for someone who already has strong relationships with businesses such as restaurants, hotels, retail stores, warehouses, factories, or other commercial venues in Mumbai and can use those relationships to coordinate recurring recording sessions.

Responsibilities
- Coordinate and schedule data collection sessions at existing partner venues.
- Act as the primary point of contact with venue managers and staff.
- Recruit and coordinate participants for scheduled sessions.
- Ensure each recording session runs smoothly and according to our protocols.
- Manage the logistics of data collection equipment before and after each session.
- Report operational issues and coordinate closely with our remote team.

Requirements
- Based in Mumbai.
- Existing network or relationships with commercial businesses (restaurants, hotels, retail, warehouses, factories, etc.).
- Strong organizational and communication skills.
- Reliable and responsive.
- Experience in operations, vendor management, field operations, or event coordination is preferred.
- Engagement
- Part-time contract with flexible hours.
- Opportunity for a long-term engagement as our Mumbai operations expand.

If you have experience coordinating with commercial venues and enjoy managing real-world operations, we'd love to hear from you. Please include a brief introduction describing the types of businesses you already work with or have relationships with.

Please do not apply if your primary experience is limited to CAD drafting or modeling. I am seeking an engineer who has personally designed complete electromechanical products from concept through prototype.

We are seeking a skilled Mechatronics/Product Development Engineer to design a compact, automated, durable product. The project involves the design of a compact electromechanical product incorporating DC motors, cable-driven mechanisms, linear actuators, bearings, and custom mechanical assemblies. Experience selecting motors, designing mechanisms, and integrating electromechanical systems is required.

The ideal candidate will have experience in mechanical design and product development, with a strong understanding of mechatronics principles. The role requires close collaboration throughout concept development, engineering trade studies, design reviews, and prototype development to produce a robust proof-of-concept design suitable for fabrication and testing.

Please include examples or screenshots of products you personally designed and briefly describe your specific engineering contributions.

This project is confidential. An NDA must be signed before detailed project information is shared.

Deliverables:
Concept development
Mechanism architecture
Motor selection and sizing
Gearbox / transmission selection
Bearing selection
CAD assembly
Detailed part design
Preliminary Bill of Materials (BOM)
Design review meetings
Design revisions

Desirable skills:
Electromechanical Design
Mechatronics
Motion Systems
Motion Control
Robotics
SolidWorks
Design for Manufacturing (DFM)
Product Development
Machine Design

Experience working directly with overseas manufacturers or preparing designs for manufacturing is highly desirable.

In your proposal, please describe the most technically challenging electromechanical product you have personally designed and your specific role on that project. Generic proposals will not be considered.

Please begin your proposal with the words "Mechanical Innovation" so I know you've read the full job posting.

Summary
## Role Description

The Litigation Counsel role is focused on shaping the legal intelligence layer behind LUNARTECH’s software systems while protecting the company through strong legal strategy, clear risk analysis, and disciplined execution across disputes, claims, regulatory matters, and complex legal proceedings. This person will work directly with us to co-design LegalAI Rosendahl, define legal software rules, review legal outputs, and serve as a critical verifier of whether the legal analysis, workflows, and strategy produced by our systems are accurate, useful, and defensible.

What you’ll work on:

- Co-designing LegalAI Rosendahl, including legal software rules, workflows, review logic, and decision frameworks with the product and AI teams
- Verifying whether legal outputs produced by internal systems are accurate, strategically sound, and legally defensible
- Developing litigation strategy across disputes, claims, investigations, and pre-litigation matters
- Conducting legal research and translating complex legal issues into practical recommendations for both legal work and software design
- Drafting and reviewing pleadings, motions, demand letters, legal memos, and supporting documentation
- Managing evidence, timelines, discovery materials, case files, and procedural requirements
- Coordinating with internal stakeholders and external counsel where needed
- Assessing legal risk and helping leadership make informed decisions under pressure

## Company Description

LUNARTECH is a frontier deep-tech company focused on artificial intelligence across education, healthcare, aerospace, and other high-impact sectors. Recognized by publications including Forbes, Entrepreneur, Insider, Bloomberg, and Benzinga, the company has built an international presence with offices in North America and Europe and a team operating across seven continents and ten countries. Through more than 77 specialized AI programs, collaborations with the world’s largest open-source educational nonprofit, and engagement with over 1 million professionals across 144+ countries, LUNARTECH has established a global platform at the intersection of AI education, applied systems, and company building.

The firm is defined by execution. LUNARTECH engineered solutions and partnered with numerous industry leading companies that operate in the spaces of healthcare, aerospace, UAVs, and engines, alongside cybersecurity, clean energy, robotics, world models, and other frontier initiatives. Through LUNARTECH Labs, it delivers end-to-end AI and data solutions, from data infrastructure and model development to deployment, monitoring, and continuous improvement, serving enterprises, institutions, and governments. It also develops Phoenix, its proprietary AI-powered productivity and automation platform with more than 300 AI Agents supporting research, analysis, operations, and workflow execution at scale.

At its core, LUNARTECH is built on a clear principle: advanced technology matters only when it creates practical advantage. The company’s focus is to turn frontier AI into secure, scalable, and operational capability, enabling organizations to move with greater speed, sharper insight, and stronger strategic control.

## Why this role is a career accelerator

LUNARTECH operates at the frontier of applied AI, advanced technology, and high-stakes company building — where legal judgment is not theoretical, but operational. This role gives you exposure to real disputes, real documentation, real strategic decisions, and the legal infrastructure behind a fast-moving frontier technology company.

Our work spans high-impact domains such as:

- LegalAI Rosendahl design, legal software rules, and workflow automation
- AI engineering and production-grade ML systems
- Litigation strategy, legal analysis, and quality verification of legal outputs
- Aerospace and advanced systems
- Healthcare and clinical-adjacent applications
- Manufacturing and industrial engineering use cases
- Corporate, commercial, and operational legal matters

You’ll work close to the source of decision-making and product design. That means you’ll see how legal strategy connects to business risk, intellectual property, corporate structure, partnerships, employment matters, reputation protection, and the software systems we are building. You won’t only analyze issues in isolation — you’ll help translate legal complexity into action, rules, workflows, and product logic.

This role is intentionally selective. We protect our intellectual property, move quickly, and expect discretion, rigor, and ownership. In return, you get an environment designed to sharpen legal judgment through direct exposure, fast feedback loops, and meaningful responsibility.

If you are serious about accelerating your legal trajectory, this role is built to compress years of practical learning into months. It’s a bridge from academic legal knowledge to high-stakes, company-grade legal execution — with mentorship, documentation standards, and real deliverables.

What we invest in you:

- Structured mentorship and direct guidance on legal reasoning, drafting, and strategy
- Hands-on exposure to litigation workflows, legal documentation, risk analysis, and legal software co-design
- Internal playbooks, templates, and research systems to help you work with precision
- A fast-moving environment where legal work directly supports company outcomes
- Collaboration with a high-caliber network of builders, operators, and advisors across the organization

These openings are limited. When they open, strong candidates move quickly — because the upside is obvious.

## Qualifications

- Legal education, legal training, or strong demonstrated interest in litigation and dispute resolution
- Strong legal research, writing, analytical, and documentation skills
- Ability to draft clear legal memos, case summaries, timelines, and structured arguments
- Familiarity with litigation processes, pleadings, discovery, motions, evidence, and procedural rules
- Strong judgment, discretion, confidentiality, and attention to detail
- Ability to communicate complex legal issues clearly to legal and non-legal stakeholders
- High ownership: you can take an ambiguous legal issue and turn it into a structured analysis or action plan
- Bonus: experience with technology law, legal operations, legal tech, IP, employment disputes, corporate disputes, AI policy, or cross-border legal matters

### Screening Questions

To ensure the role is a good fit, please confirm the following upfront:

- You can complete a practical legal research or drafting assignment as part of the evaluation process.
- You can work reliably in a remote setup and communicate progress proactively.
- You’re willing to sign onboarding documents prior to starting, including MoU, NDA, and related agreements.
- You understand that the role may involve confidential, sensitive, or high-stakes legal materials.

Summary
## Role Description

The Litigation Counsel role is focused on shaping the legal intelligence layer behind LUNARTECH’s software systems while protecting the company through strong legal strategy, clear risk analysis, and disciplined execution across disputes, claims, regulatory matters, and complex legal proceedings. This person will work directly with us to co-design LegalAI Rosendahl, define legal software rules, review legal outputs, and serve as a critical verifier of whether the legal analysis, workflows, and strategy produced by our systems are accurate, useful, and defensible.

What you’ll work on:

- Co-designing LegalAI Rosendahl, including legal software rules, workflows, review logic, and decision frameworks with the product and AI teams
- Verifying whether legal outputs produced by internal systems are accurate, strategically sound, and legally defensible
- Developing litigation strategy across disputes, claims, investigations, and pre-litigation matters
- Conducting legal research and translating complex legal issues into practical recommendations for both legal work and software design
- Drafting and reviewing pleadings, motions, demand letters, legal memos, and supporting documentation
- Managing evidence, timelines, discovery materials, case files, and procedural requirements
- Coordinating with internal stakeholders and external counsel where needed
- Assessing legal risk and helping leadership make informed decisions under pressure

## Company Description

LUNARTECH is a frontier deep-tech company focused on artificial intelligence across education, healthcare, aerospace, and other high-impact sectors. Recognized by publications including Forbes, Entrepreneur, Insider, Bloomberg, and Benzinga, the company has built an international presence with offices in North America and Europe and a team operating across seven continents and ten countries. Through more than 77 specialized AI programs, collaborations with the world’s largest open-source educational nonprofit, and engagement with over 1 million professionals across 144+ countries, LUNARTECH has established a global platform at the intersection of AI education, applied systems, and company building.

The firm is defined by execution. LUNARTECH engineered solutions and partnered with numerous industry leading companies that operate in the spaces of healthcare, aerospace, UAVs, and engines, alongside cybersecurity, clean energy, robotics, world models, and other frontier initiatives. Through LUNARTECH Labs, it delivers end-to-end AI and data solutions, from data infrastructure and model development to deployment, monitoring, and continuous improvement, serving enterprises, institutions, and governments. It also develops Phoenix, its proprietary AI-powered productivity and automation platform with more than 300 AI Agents supporting research, analysis, operations, and workflow execution at scale.

At its core, LUNARTECH is built on a clear principle: advanced technology matters only when it creates practical advantage. The company’s focus is to turn frontier AI into secure, scalable, and operational capability, enabling organizations to move with greater speed, sharper insight, and stronger strategic control.

## Why this role is a career accelerator

LUNARTECH operates at the frontier of applied AI, advanced technology, and high-stakes company building — where legal judgment is not theoretical, but operational. This role gives you exposure to real disputes, real documentation, real strategic decisions, and the legal infrastructure behind a fast-moving frontier technology company.

Our work spans high-impact domains such as:

- LegalAI Rosendahl design, legal software rules, and workflow automation
- AI engineering and production-grade ML systems
- Litigation strategy, legal analysis, and quality verification of legal outputs
- Aerospace and advanced systems
- Healthcare and clinical-adjacent applications
- Manufacturing and industrial engineering use cases
- Corporate, commercial, and operational legal matters

You’ll work close to the source of decision-making and product design. That means you’ll see how legal strategy connects to business risk, intellectual property, corporate structure, partnerships, employment matters, reputation protection, and the software systems we are building. You won’t only analyze issues in isolation — you’ll help translate legal complexity into action, rules, workflows, and product logic.

This role is intentionally selective. We protect our intellectual property, move quickly, and expect discretion, rigor, and ownership. In return, you get an environment designed to sharpen legal judgment through direct exposure, fast feedback loops, and meaningful responsibility.

If you are serious about accelerating your legal trajectory, this role is built to compress years of practical learning into months. It’s a bridge from academic legal knowledge to high-stakes, company-grade legal execution — with mentorship, documentation standards, and real deliverables.

What we invest in you:

- Structured mentorship and direct guidance on legal reasoning, drafting, and strategy
- Hands-on exposure to litigation workflows, legal documentation, risk analysis, and legal software co-design
- Internal playbooks, templates, and research systems to help you work with precision
- A fast-moving environment where legal work directly supports company outcomes
- Collaboration with a high-caliber network of builders, operators, and advisors across the organization

These openings are limited. When they open, strong candidates move quickly — because the upside is obvious.

## Qualifications

- Legal education, legal training, or strong demonstrated interest in litigation and dispute resolution
- Strong legal research, writing, analytical, and documentation skills
- Ability to draft clear legal memos, case summaries, timelines, and structured arguments
- Familiarity with litigation processes, pleadings, discovery, motions, evidence, and procedural rules
- Strong judgment, discretion, confidentiality, and attention to detail
- Ability to communicate complex legal issues clearly to legal and non-legal stakeholders
- High ownership: you can take an ambiguous legal issue and turn it into a structured analysis or action plan
- Bonus: experience with technology law, legal operations, legal tech, IP, employment disputes, corporate disputes, AI policy, or cross-border legal matters

### Screening Questions

To ensure the role is a good fit, please confirm the following upfront:

- You can complete a practical legal research or drafting assignment as part of the evaluation process.
- You can work reliably in a remote setup and communicate progress proactively.
- You’re willing to sign onboarding documents prior to starting, including MoU, NDA, and related agreements.
- You understand that the role may involve confidential, sensitive, or high-stakes legal materials.

Summary
## Role Description

The Litigation Counsel role is focused on shaping the legal intelligence layer behind LUNARTECH’s software systems while protecting the company through strong legal strategy, clear risk analysis, and disciplined execution across disputes, claims, regulatory matters, and complex legal proceedings. This person will work directly with us to co-design LegalAI Rosendahl, define legal software rules, review legal outputs, and serve as a critical verifier of whether the legal analysis, workflows, and strategy produced by our systems are accurate, useful, and defensible.

What you’ll work on:

- Co-designing LegalAI Rosendahl, including legal software rules, workflows, review logic, and decision frameworks with the product and AI teams
- Verifying whether legal outputs produced by internal systems are accurate, strategically sound, and legally defensible
- Developing litigation strategy across disputes, claims, investigations, and pre-litigation matters
- Conducting legal research and translating complex legal issues into practical recommendations for both legal work and software design
- Drafting and reviewing pleadings, motions, demand letters, legal memos, and supporting documentation
- Managing evidence, timelines, discovery materials, case files, and procedural requirements
- Coordinating with internal stakeholders and external counsel where needed
- Assessing legal risk and helping leadership make informed decisions under pressure

## Company Description

LUNARTECH is a frontier deep-tech company focused on artificial intelligence across education, healthcare, aerospace, and other high-impact sectors. Recognized by publications including Forbes, Entrepreneur, Insider, Bloomberg, and Benzinga, the company has built an international presence with offices in North America and Europe and a team operating across seven continents and ten countries. Through more than 77 specialized AI programs, collaborations with the world’s largest open-source educational nonprofit, and engagement with over 1 million professionals across 144+ countries, LUNARTECH has established a global platform at the intersection of AI education, applied systems, and company building.

The firm is defined by execution. LUNARTECH engineered solutions and partnered with numerous industry leading companies that operate in the spaces of healthcare, aerospace, UAVs, and engines, alongside cybersecurity, clean energy, robotics, world models, and other frontier initiatives. Through LUNARTECH Labs, it delivers end-to-end AI and data solutions, from data infrastructure and model development to deployment, monitoring, and continuous improvement, serving enterprises, institutions, and governments. It also develops Phoenix, its proprietary AI-powered productivity and automation platform with more than 300 AI Agents supporting research, analysis, operations, and workflow execution at scale.

At its core, LUNARTECH is built on a clear principle: advanced technology matters only when it creates practical advantage. The company’s focus is to turn frontier AI into secure, scalable, and operational capability, enabling organizations to move with greater speed, sharper insight, and stronger strategic control.

## Why this role is a career accelerator

LUNARTECH operates at the frontier of applied AI, advanced technology, and high-stakes company building — where legal judgment is not theoretical, but operational. This role gives you exposure to real disputes, real documentation, real strategic decisions, and the legal infrastructure behind a fast-moving frontier technology company.

Our work spans high-impact domains such as:

- LegalAI Rosendahl design, legal software rules, and workflow automation
- AI engineering and production-grade ML systems
- Litigation strategy, legal analysis, and quality verification of legal outputs
- Aerospace and advanced systems
- Healthcare and clinical-adjacent applications
- Manufacturing and industrial engineering use cases
- Corporate, commercial, and operational legal matters

You’ll work close to the source of decision-making and product design. That means you’ll see how legal strategy connects to business risk, intellectual property, corporate structure, partnerships, employment matters, reputation protection, and the software systems we are building. You won’t only analyze issues in isolation — you’ll help translate legal complexity into action, rules, workflows, and product logic.

This role is intentionally selective. We protect our intellectual property, move quickly, and expect discretion, rigor, and ownership. In return, you get an environment designed to sharpen legal judgment through direct exposure, fast feedback loops, and meaningful responsibility.

If you are serious about accelerating your legal trajectory, this role is built to compress years of practical learning into months. It’s a bridge from academic legal knowledge to high-stakes, company-grade legal execution — with mentorship, documentation standards, and real deliverables.

What we invest in you:

- Structured mentorship and direct guidance on legal reasoning, drafting, and strategy
- Hands-on exposure to litigation workflows, legal documentation, risk analysis, and legal software co-design
- Internal playbooks, templates, and research systems to help you work with precision
- A fast-moving environment where legal work directly supports company outcomes
- Collaboration with a high-caliber network of builders, operators, and advisors across the organization

These openings are limited. When they open, strong candidates move quickly — because the upside is obvious.

## Qualifications

- Legal education, legal training, or strong demonstrated interest in litigation and dispute resolution
- Strong legal research, writing, analytical, and documentation skills
- Ability to draft clear legal memos, case summaries, timelines, and structured arguments
- Familiarity with litigation processes, pleadings, discovery, motions, evidence, and procedural rules
- Strong judgment, discretion, confidentiality, and attention to detail
- Ability to communicate complex legal issues clearly to legal and non-legal stakeholders
- High ownership: you can take an ambiguous legal issue and turn it into a structured analysis or action plan
- Bonus: experience with technology law, legal operations, legal tech, IP, employment disputes, corporate disputes, AI policy, or cross-border legal matters

### Screening Questions

To ensure the role is a good fit, please confirm the following upfront:

- You can complete a practical legal research or drafting assignment as part of the evaluation process.
- You can work reliably in a remote setup and communicate progress proactively.
- You’re willing to sign onboarding documents prior to starting, including MoU, NDA, and related agreements.
- You understand that the role may involve confidential, sensitive, or high-stakes legal materials.

Summary
## Role Description

The Litigation Counsel role is focused on shaping the legal intelligence layer behind LUNARTECH’s software systems while protecting the company through strong legal strategy, clear risk analysis, and disciplined execution across disputes, claims, regulatory matters, and complex legal proceedings. This person will work directly with us to co-design LegalAI Rosendahl, define legal software rules, review legal outputs, and serve as a critical verifier of whether the legal analysis, workflows, and strategy produced by our systems are accurate, useful, and defensible.

What you’ll work on:

- Co-designing LegalAI Rosendahl, including legal software rules, workflows, review logic, and decision frameworks with the product and AI teams
- Verifying whether legal outputs produced by internal systems are accurate, strategically sound, and legally defensible
- Developing litigation strategy across disputes, claims, investigations, and pre-litigation matters
- Conducting legal research and translating complex legal issues into practical recommendations for both legal work and software design
- Drafting and reviewing pleadings, motions, demand letters, legal memos, and supporting documentation
- Managing evidence, timelines, discovery materials, case files, and procedural requirements
- Coordinating with internal stakeholders and external counsel where needed
- Assessing legal risk and helping leadership make informed decisions under pressure

## Company Description

LUNARTECH is a frontier deep-tech company focused on artificial intelligence across education, healthcare, aerospace, and other high-impact sectors. Recognized by publications including Forbes, Entrepreneur, Insider, Bloomberg, and Benzinga, the company has built an international presence with offices in North America and Europe and a team operating across seven continents and ten countries. Through more than 77 specialized AI programs, collaborations with the world’s largest open-source educational nonprofit, and engagement with over 1 million professionals across 144+ countries, LUNARTECH has established a global platform at the intersection of AI education, applied systems, and company building.

The firm is defined by execution. LUNARTECH engineered solutions and partnered with numerous industry leading companies that operate in the spaces of healthcare, aerospace, UAVs, and engines, alongside cybersecurity, clean energy, robotics, world models, and other frontier initiatives. Through LUNARTECH Labs, it delivers end-to-end AI and data solutions, from data infrastructure and model development to deployment, monitoring, and continuous improvement, serving enterprises, institutions, and governments. It also develops Phoenix, its proprietary AI-powered productivity and automation platform with more than 300 AI Agents supporting research, analysis, operations, and workflow execution at scale.

At its core, LUNARTECH is built on a clear principle: advanced technology matters only when it creates practical advantage. The company’s focus is to turn frontier AI into secure, scalable, and operational capability, enabling organizations to move with greater speed, sharper insight, and stronger strategic control.

## Why this role is a career accelerator

LUNARTECH operates at the frontier of applied AI, advanced technology, and high-stakes company building — where legal judgment is not theoretical, but operational. This role gives you exposure to real disputes, real documentation, real strategic decisions, and the legal infrastructure behind a fast-moving frontier technology company.

Our work spans high-impact domains such as:

- LegalAI Rosendahl design, legal software rules, and workflow automation
- AI engineering and production-grade ML systems
- Litigation strategy, legal analysis, and quality verification of legal outputs
- Aerospace and advanced systems
- Healthcare and clinical-adjacent applications
- Manufacturing and industrial engineering use cases
- Corporate, commercial, and operational legal matters

You’ll work close to the source of decision-making and product design. That means you’ll see how legal strategy connects to business risk, intellectual property, corporate structure, partnerships, employment matters, reputation protection, and the software systems we are building. You won’t only analyze issues in isolation — you’ll help translate legal complexity into action, rules, workflows, and product logic.

This role is intentionally selective. We protect our intellectual property, move quickly, and expect discretion, rigor, and ownership. In return, you get an environment designed to sharpen legal judgment through direct exposure, fast feedback loops, and meaningful responsibility.

If you are serious about accelerating your legal trajectory, this role is built to compress years of practical learning into months. It’s a bridge from academic legal knowledge to high-stakes, company-grade legal execution — with mentorship, documentation standards, and real deliverables.

What we invest in you:

- Structured mentorship and direct guidance on legal reasoning, drafting, and strategy
- Hands-on exposure to litigation workflows, legal documentation, risk analysis, and legal software co-design
- Internal playbooks, templates, and research systems to help you work with precision
- A fast-moving environment where legal work directly supports company outcomes
- Collaboration with a high-caliber network of builders, operators, and advisors across the organization

These openings are limited. When they open, strong candidates move quickly — because the upside is obvious.

## Qualifications

- Legal education, legal training, or strong demonstrated interest in litigation and dispute resolution
- Strong legal research, writing, analytical, and documentation skills
- Ability to draft clear legal memos, case summaries, timelines, and structured arguments
- Familiarity with litigation processes, pleadings, discovery, motions, evidence, and procedural rules
- Strong judgment, discretion, confidentiality, and attention to detail
- Ability to communicate complex legal issues clearly to legal and non-legal stakeholders
- High ownership: you can take an ambiguous legal issue and turn it into a structured analysis or action plan
- Bonus: experience with technology law, legal operations, legal tech, IP, employment disputes, corporate disputes, AI policy, or cross-border legal matters

### Screening Questions

To ensure the role is a good fit, please confirm the following upfront:

- You can complete a practical legal research or drafting assignment as part of the evaluation process.
- You can work reliably in a remote setup and communicate progress proactively.
- You’re willing to sign onboarding documents prior to starting, including MoU, NDA, and related agreements.
- You understand that the role may involve confidential, sensitive, or high-stakes legal materials.

Merit Data provides robotics training data for embodied AI and robot learning teams.

We are looking for a part-time Robotics Industry Connector with experience in the robotics ecosystem.

Responsibilities:
- Provide warm introductions to robotics founders, CTOs, engineers, or AI teams
- Help us build relationships with potential customers

Requirements:
- Former experience in robotics companies (Figure AI, Agility Robotics, Apptronik, 1X, etc.) is a plus
- Strong robotics industry network
- Experience building partnerships or professional connections

This is not a cold outreach role. We are looking for someone who can help create warm introductions through existing relationships.

Part-time, remote, paid consulting + referral compensation.

I'm the founder of a humanoid robotics AI company. I need a robotics/RL engineer who can work alongside me on real problems while explaining their thinking and approach so I build deep understanding over time.

This could lean more toward hands-on engineering or more toward structured teaching depending on your strengths. Ideally both.

Scope:

• Reinforcement learning for motor control (PPO, SAC, reward shaping, curriculum learning)
• Sim-to-real transfer pipelines for legged/humanoid robots
• Physics simulation environments (MuJoCo, Isaac Sim, Isaac Lab)
• Locomotion policy training and deployment
• Control systems fundamentals (PID, impedance control, EtherCAT)
• URDF/MJCF model creation and tuning
• Real-time inference at the edge

About me:

Strong software engineering background. I work daily with a robotics team and need to go from high-level AI/ML understanding to being able to evaluate technical decisions, read papers, and contribute meaningfully to architecture discussions.

Format:

• Video calls every 1-3 days (1-2 hours per session)
• Mix of collaborative engineering work and structured learning
• Async Q&A between sessions
• Duration: 2-3 months initially, ongoing if it works well

Ideal candidate:

• Has shipped sim-to-real on real legged or humanoid hardware
• Professional experience with MuJoCo and/or Isaac Sim
• Strong communicator who can explain complex concepts clearly
• Comfortable with a collaborative working style, not just isolated task execution

Budget: Open to hourly or weekly retainer. Share your rate and availability and we can arrange a short intro call to see if we are a fit.

**Oracle Fusion WMS Expert Required for LFS-to-Oracle WMS Migration**

We're looking for an experienced Oracle Fusion Cloud Warehouse Management consultant with proven expertise in assessing, designing, and delivering migrations from LFS WMS to Oracle Fusion WMS.

LFS is a warehouse management system developed by Ehrhardt Partner Group, also known as EPG. The current product is generally referred to as EPG LFS or LFS.wms, while some older implementations, including LuLu environments, may be known as LFS 400.

The selected consultant will support the assessment of an existing LFS warehouse environment and help define the target Oracle Fusion WMS solution, migration strategy, integration architecture, implementation effort, risks, and phased delivery roadmap.

### Key Responsibilities

* Assess existing LFS warehouse processes, configurations, customizations, interfaces, and operational dependencies
* Conduct a detailed functional and technical fit-gap analysis between LFS and Oracle Fusion WMS
* Review receiving, put-away, replenishment, picking, packing, dispatch, returns, cycle counting, lot control, expiry management, and inventory accuracy processes
* Evaluate warehouse automation integrations, including handheld devices, barcode scanners, conveyors, ASRS, voice-picking systems, robotics, and warehouse control systems
* Identify functional gaps, migration dependencies, integration requirements, operational risks, and change-management considerations
* Define the target Oracle Fusion WMS solution architecture and operating model
* Review integrations with Oracle Fusion Inventory, Procurement, Order Management, Transportation Management, Financials, retail systems, ERP platforms, and warehouse automation solutions
* Recommend an appropriate pilot, coexistence, phased migration, cutover, and stabilization approach
* Support the preparation of the solution proposal, architecture diagrams, implementation plan, resource model, timelines, assumptions, and effort estimates
* Provide guidance on data migration, master-data readiness, transaction migration, reconciliation, testing, and LFS decommissioning

### Required Experience

* Strong hands-on experience with Oracle Fusion Cloud Warehouse Management
* Proven experience in LFS WMS assessment, replacement, integration, modernization, or migration projects
* Practical knowledge of EPG LFS, LFS.wms, or LFS 400 environments
* Good understanding of retail, grocery, FMCG, e-commerce, or high-volume distribution-centre operations
* Experience with complex warehouse processes, including batch, lot, shelf-life, expiry-date, chilled, frozen, and ambient inventory management
* Experience integrating Oracle WMS with ERP, retail, transportation, automation, and third-party logistics systems
* Strong understanding of Oracle Fusion SCM architecture, APIs, integrations, and data-migration considerations
* Ability to prepare professional fit-gap assessments, solution designs, architecture diagrams, migration plans, implementation estimates, and risk registers

### Important Application Requirement

Interested candidates must clearly describe their direct LFS migration or replacement experience.

Please include:

* Customer industry and warehouse environment
* LFS product version, such as LFS.wms or LFS 400
* Number and type of warehouses involved
* Oracle Fusion WMS implementation or migration scope
* Your specific role and responsibilities
* Key warehouse processes and integrations covered
* Major challenges encountered and how they were resolved
* Migration approach, project duration, and business outcomes
* Relevant Oracle certifications
* Current availability and expected engagement model

Applications containing only general Oracle WMS experience, without direct LFS exposure, may not be considered.

This engagement will initially focus on consulting, assessment, solution design, and migration planning, with the possibility of extended involvement during implementation, testing, cutover, and post-go-live support.

Three phase induction motors (TPIM) are extensively used for
various applications in the industry for driving cranes, hoists, lifts,
rolling mills, cooling fans, textile operations, and so forth. TPIM are
designed to operate on balanced three phase power supply, but
sometimes three phase supply line voltages to which the TPIM is
connected may be unbalanced. In this data article, the operational
data of a TPIM operating under changing voltage scenarios is
profiled to determine the variations in the magnitude of the
operational parameters of the motor

Three phase induction motors (TPIM) are extensively used for
various applications in the industry for driving cranes, hoists, lifts,
rolling mills, cooling fans, textile operations, and so forth. TPIM are
designed to operate on balanced three phase power supply, but
sometimes three phase supply line voltages to which the TPIM is
connected may be unbalanced. In this data article, the operational
data of a TPIM operating under changing voltage scenarios is
profiled to determine the variations in the magnitude of the
operational parameters of the motor

# 🚀 AI & Robotics Video Collection Project (USA) | Remote

We're hiring **contributors across the United States** for an exciting **AI & Robotics Video Data Collection Project**.

Record **first-person (POV)** videos while performing simple household activities to help train next-generation AI systems.

### 📱 Eligible Devices

* iPhone 11–17 *(excluding 16e & 17e)*
* Google Pixel 6–9
* Samsung Galaxy S21–S24

### ✅ Requirements

* Located in the **United States**
* Compatible smartphone
* Head/forehead strap
* Reliable internet
* Well-lit environment
* Both hands visible while recording

### 🌟 What We Offer

* 100% Remote
* Flexible schedule
* Paid project
* Training provided
* Long-term opportunities for top contributors

### 📩 When Applying, Please Share

* Country of residence
* Smartphone model
* Head strap availability
* General availability

**Apply now and help shape the future of AI & Robotics!**

"Female Arabic Social Media Specialist & Content Creator – Jeddah"

Rising Leaders Academy (RLA) is looking for a creative and experienced female Social Media Specialist to manage our social media presence and support our marketing growth.

RLA is a youth development academy in Jeddah that prepares children aged 6–15 years through future-ready skills including:

Future Technology (AI, Robotics, Coding & STEM)
Leadership & Communication
Business & Entrepreneurship
Discipline & Character Development
Sports & Physical Development (Swimming, Basketball, Football & Karate)

Role Overview:

We need a person who can do more than posting content. The ideal candidate should understand content creation, audience engagement, lead generation, and building trust with Saudi parents.

Responsibilities:

Social Media Management

Manage Instagram, TikTok, Snapchat and other platforms

Create weekly and monthly content calendars

Develop engaging posts, stories, and Reels

Write professional Arabic and English captions

Maintain RLA's premium brand image


Content Creation

Create creative short videos (Reels/TikTok)

Edit videos using Canva, CapCut, or similar tools

Capture and highlight academy activities, classes, coaches, and student achievements

Create engaging content suitable for Saudi families


Parent Communication & Lead Support

Reply professionally to Arabic and English messages/comments

Communicate with parents about programs

Support registration inquiries

Coordinate with the admissions team for lead follow-up


Marketing & Growth

Suggest creative campaigns to increase registrations

Support Meta/Facebook/Instagram advertising campaigns

Analyze social media performance and provide reports

Research trends and create content ideas to attract parents


Requirements:

Female candidate preferred
Arabic native speaker and good English communication skills
Based in Jeddah, Saudi Arabia preferred
Experience managing Instagram, TikTok, and Snapchat
Strong skills in Reels/video creation and editing
Understanding of Saudi culture and parent audience
Creative, organized, and proactive mindset
Experience with education, children, or family brands is an advantage

Please Send:

1. CV/Profile


2. Portfolio of social media accounts managed


3. Examples of Reels/videos created


4. Previous marketing experience


5. Availability


6. Expected monthly salary/fee



Location: Jeddah, Saudi Arabia
Work Type: Part-time / Full-time (depending on candidate)
Long-term opportunity for the right person

Skills: Creative Writing, Social Media Marketing, Video Editing, Instagram, Digital Marketing, Social Media Management, Brand Management, Content Strategy, Lead Generation, Content Creation

# AI Data Collection Associate (Remote)

**Company:** Adept Global Innovation Center (Adept GIC)

📍 **Location:** Remote (Work from Home)

💼 **Job Type:** Freelance | Part-Time | Flexible Hours

🎓 **Experience:** No Experience Required

🎤 **Language:** No speaking or audio recording required

## About the Opportunity

Join Adept GIC and contribute to the future of **Artificial Intelligence, Robotics, and Computer Vision**.

We're looking for participants to record **first-person (POV) videos** while performing their normal daily activities at home or work. Your recordings will help train next-generation AI systems.

This opportunity is perfect for students, homemakers, office employees, warehouse workers, retail staff, and freelancers.

## Eligible Countries

* United States
* Canada
* Mexico
* Brazil
* Colombia
* Argentina

## Device Requirements

**Apple iPhone:** 11–17 Series *(16e & 17e not supported)*

**Google Pixel:** Pixel 6–9 Series

**Samsung Galaxy:** S21–S24 Series

**Additional Requirements:**

* Head-mount phone strap
* Stable internet connection

## What You'll Do

Record natural first-person POV videos while performing activities such as:

* Cooking
* Cleaning
* Laundry
* Dishwashing
* Home organization
* Warehouse operations
* Inventory handling
* Logistics
* Retail and workplace activities

**Recording Duration:** 2–30 minutes per video

**Maximum Participation:** Up to **100 recording hours per environment**.

## Apply Now

If you have a compatible smartphone and would like to contribute to the future of AI while working on your own schedule, we'd love to hear from you!

Hello,

Overall Objective
Create a highly realistic 3D animated simulation that demonstrates how Autonomous Mobile Robots (AMRs) transform warehouse operations by delivering inventory directly to associates at Goods-to-Person (G2P) pick stations.

The animation should feel like a professional supply chain consulting video that could be presented to Ecolab executives, investors, or board members.

Style inspiration:

Amazon Robotics
Walmart automated fulfillment centers
Geek+ robotics demonstrations
Accenture / Deloitte supply chain concept videos

Video Length
3-4 minutes

Visual Style

Photorealistic warehouse environment
Modern distribution center
Clean and organized
Professional lighting
Ecolab colors incorporated subtly (blue accents)
Smooth camera movements
Executive presentation quality


Scene 1 – Exterior Introduction (10 seconds)
Show a modern Ecolab distribution center from the outside. (I can provide a photo)
Visuals:

Tractor trailers arriving
Employees entering building
Drone-style aerial flyover

On-screen text:
"Ecolab Distribution Center of the Future, San Bernadino, California"
Transition through the walls into the building.

Scene 2 – Warehouse Overview (20 seconds)
Display the entire warehouse layout from above.
Camera slowly flies over:

Storage aisles
AMR operating zones
Goods-to-Person stations
Shipping area
Show hundreds of pallet locations.

Narration concept:
"Inventory is stored in a dense, highly optimized autonomous storage system."

Scene 3 – Customer Order Arrives (20 seconds)
Multiple customer orders are received.
Display:

Order appears on screen
Multiple SKUs highlighted throughout warehouse

Inventory locations illuminate.
Visual goal:
Viewer understands products are scattered throughout the building.

Scene 4 – AMR Fleet Activation (30 seconds)
Robots begin moving inside the pick zone. The pallets in the warehouse are brought by people on Raymond Reach Trucks to the AMR pick zone.
Show:

Fleet management software assigns tasks
20-40 AMRs activate simultaneously
Robots leave charging locations
AMRs navigate safely through pick zone only

Important:
Movement should look intelligent and coordinated.
No collisions.
Traffic should appear optimized.
Camera follows several robots simultaneously.

Scene 5 – Inventory Retrieval (45 seconds)
This is the hero section.
Show AMRs:

Driving underneath inventory pods or pallet positions in the pick zone
Lifting inventory
Transporting it automatically

Viewer should immediately understand:
"People no longer walk long distances."
Instead:
"The product travels to the associate."
Use callout graphics showing:
Traditional Process:

Employees drive constantly throughout the warehouse

New Process:

AMR brings inventory directly to picker. AMR is the Quicktron M150.


Scene 6 – Goods-to-Person Pick Stations (60 seconds)
Depict the four G2P pick stations shown in the concept drawing.
Show:
Station Operation
AMR arrives.
Pod or pallet is presented to associate.
A light illuminates correct SKU location.
Display:

Pick-to-pallet guidance
Quantity instructions
Confirmation scan

Employee remains within elevated ergonomic work area. Pallets will be on platforms.
Associate never leaves workstation.
Employee uses vacuum lifter to pickup cartons
Show multiple stations operating simultaneously.
Visual emphasis:

Safety
Ergonomics
Productivity

Human Interaction
Associates:

Scan tote
Pick product
Confirm pick
Place product into outbound order tote

The interface should look modern and intuitive.

Scene 7 – Dynamic Replenishment (30 seconds)
Demonstrate system intelligence.
Show:

Fast-moving products relocated closer to pick stations
Less frequently used items moved to secondary locations

Animation should visualize:
AI-driven slotting optimization.
Overlay text:
"Continuous Inventory Optimization"

Scene 8 – AMR Traffic Management (20 seconds)
Show dozens of robots operating together.
Visualize:

Digital routes
Traffic control
Automatic obstacle avoidance

Camera angle:
High aerial overview.
Important message:
Scalable automation supporting future growth.


Scene 9 – Closing Vision (15 seconds)
Camera pulls back showing the entire automated facility operating smoothly.
Robots move throughout warehouse while orders process continuously.
Final text:
Ecolab Distribution Centers of the Future
Autonomous • Scalable • Safe • Efficient
Fade to Ecolab blue.
Display Ecolab logo.

Critical Animation Requirements
AMRs (Quicktron M150)

Low-profile autonomous mobile robots
Industrial appearance
Blue/gray Ecolab color palette
Realistic acceleration and stopping

Warehouse Environment

High-density pallet storage
Very clean facility
Clearly marked traffic lanes
Accurate warehouse operations

People

Warehouse associates wearing:
Yellow Safety vests
Safety glasses
Black Ecolab baseball caps
Black gloves
Long pants & long sleeves



Diverse workforce representation

Camera Work
Use:

Drone flyovers
Tracking shots
Isometric warehouse views
First-person associate perspectives
Smooth cinematic transitions

Key Message
At the end of the video, executives should immediately understand:

"Instead of employees walking to products, autonomous robots bring products directly to the employee—improving safety, productivity, space utilization, and scalability across the Ecolab distribution network."

This should feel like a future-state operational vision for the AMR deployments planned across Ecolab distribution centers.

Need ASAP

# AFTER MIDNIGHT

# SEASON 1: NEW BEGINNINGS

## Complete Open-World Story Expansion

**Season Length:** 40–60 hours (main story)
**Total Content:** 100+ hours including side quests, relationships, jobs, clubs, exploration, and mysteries
**Players:** 1–30 per server
**Main Theme:** *Everyone has a secret. The question is who you trust.*

---

# SEASON 1 OVERVIEW

The school year begins in **Ashwood Heights**.

A new semester brings:

* new students
* new friendships
* new rivalries
* new opportunities

But after an anonymous social media account called **"After Midnight"** begins posting mysterious messages about students, the town starts changing.

Nobody knows:

* Who owns the account
* How they know everyone's secrets
* Why they started posting now

The player becomes connected to the mystery after their first week at Ashwood High.

---

# MAIN LOCATIONS UNLOCKED IN SEASON 1

## Ashwood High School

Available immediately.

Areas:

* Main hallway
* Classrooms
* Cafeteria
* Library
* Gym
* Football field
* Auditorium
* Art room
* Music room
* Robotics lab
* Student council office
* Teacher offices
* Rooftop area
* Old storage wing

---

## Downtown Ashwood

Unlocked after the first week.

Locations:

### Moonlight Café

Activities:

* Work job
* Study
* Meet friends
* Listen to rumors

---

### Pixel Palace Arcade

Activities:

* Mini games
* Competitions
* Hangouts
* Prize rewards

---

### Willow Street Plaza

Activities:

* Shopping
* Events
* Performances
* Social gatherings

---

## Lake Ashwood

Unlocked Episode 5.

Activities:

* Fishing
* Photography
* Skateboarding
* Picnics
* Night events

---

## Abandoned Factory

Unlocked Episode 9.

Mystery location.

Contains:

* old documents
* forgotten equipment
* hidden rooms
* clues about Ashwood's history

---

# MAIN CHARACTERS

# Alex Carter

Role:
Football captain

Personality:
Confident, competitive, protective

Secret:
He is struggling with the pressure of being considered "the perfect student."

Story Path:

Help Alex:

* Gain a loyal friend
* Unlock sports missions

Ignore Alex:

* He becomes distant

---

# Maya Brooks

Role:
School newspaper editor

Personality:
Smart, curious, determined

Secret:
She has been investigating the anonymous account.

Story Path:

Help her:

* Unlock detective missions

Betray her:

* She investigates you instead

---

# Jordan Lee

Role:
Class clown

Personality:
Funny, friendly, energetic

Secret:
He hides how much pressure he feels to keep everyone happy.

Story Path:

Become close:

* Unlock personal quests

---

# Emma Rivera

Role:
Student Council President

Personality:
Organized, ambitious

Secret:
Her perfect reputation is not as perfect as everyone thinks.

Story Path:

Support Emma:

* Gain school influence

Challenge Emma:

* Create rivalry

---

# Noah Bennett

Role:
Transfer student

Personality:
Quiet, observant

Secret:
He knows something about the After Midnight account.

Story Path:

Trust Noah:

* Unlock mystery missions

Distrust Noah:

* Unlock alternate investigation path

---

# Chloe Morgan

Role:
Social media influencer

Personality:
Confident, dramatic, creative

Secret:
She knows more about school rumors than she admits.

---

# Liam Foster

Role:
Part-time worker

Personality:
Reliable, independent

Secret:
He discovered something unusual around the abandoned factory.

---

# SEASON 1 GAMEPLAY SYSTEMS

# Reputation System

Your actions affect:

## Popularity

How many students know you.

## Trust

How much people believe you.

## Mystery

How suspicious people find you.

## Respect

How seriously people take you.

---

# Relationship Levels

## Stranger

Basic dialogue.

## Acquaintance

Small conversations.

## Friend

Hangouts unlock.

## Close Friend

Personal missions unlock.

## Best Friend

Exclusive story ending.

## Rival

Competition missions unlock.

---

# SEASON 1 EPISODES

---

# EPISODE 1

# "First Bell"

## Playtime:

3–5 hours

## Goal:

Start your new life at Ashwood High.

---

## Opening Scene

Cinematic:

Camera flies over Ashwood Heights.

Morning traffic.

Students entering school.

Music fades in.

Player wakes up.

Character customization begins.

---

## Missions:

### "New Start"

Objectives:

* Choose outfit
* Visit school
* Meet principal
* Attend first class

---

### First Choice:

At lunch:

Sit with:

1. Athletes
2. Artists
3. Student Council
4. Alone

This determines your starting social group.

---

## First Mystery:

Your phone receives:

> "Welcome to Ashwood. Everyone has a secret."

Unknown sender.

---

# EPISODE 2

# "New Faces"

## Playtime:

4–6 hours

Focus:

Meeting important characters.

---

Missions:

## "Making Connections"

Choose three people to spend time with.

---

## "The Rumor"

A post appears:

**After Midnight:**

> "A new student arrived carrying a secret."

Everyone starts guessing.

---

Player Choices:

Ignore it.

Defend yourself.

Investigate.

---

# EPISODE 3

# "Choose Your Path"

## Playtime:

5–8 hours

Clubs unlock.

---

Choose:

Football

Basketball

Drama

Band

Robotics

Debate

Student Council

---

Each club has:

* 5 missions
* unique characters
* rewards
* story branches

---

# EPISODE 4

# "After School"

## Playtime:

6–10 hours

Jobs unlock.

---

Available:

Moonlight Café

Movie Theater

Grocery Store

Pizza Delivery

Dog Walking

Tutor

---

Main mission:

"Growing Up"

Balance:

* school
* work
* friendships

---

# EPISODE 5

# "Homecoming"

## Playtime:

8–12 hours

Major social event.

---

Activities:

Spirit Week

Decorating

Dance preparation

Football game

Photography contest

---

Player choices:

Attend alone.

Invite someone.

Go with friends.

Help organize.

---

Animations:

* Dancing
* Photos
* Conversations
* Crowd reactions

---

# EPISODE 6

# "Pressure"

## Playtime:

8–10 hours

Midterms arrive.

---

Choices:

Study.

Join study group.

Ask for help.

Ignore exams.

---

Effects:

Grades change.

Parents react.

Teachers remember.

---

# EPISODE 7

# "The Account"

## Playtime:

10–15 hours

The mystery expands.

---

After Midnight posts:

> "The truth always comes out."

---

Players investigate.

Collect:

* screenshots
* notes
* photos
* messages

---

Multiple suspects appear.

---

# EPISODE 8

# "Lake Night"

## Playtime:

8–12 hours

Large multiplayer event.

---

Activities:

* Campfire conversations
* Skate competitions
* Photography
* Games

---

A strange discovery:

An old school item is found near the lake.

---

# EPISODE 9

# "The Forgotten Wing"

## Playtime:

10–15 hours

The school break-in mystery begins.

---

Mission:

Explore the abandoned school area.

Discover:

* old records
* hidden messages
* forgotten history

---

No graphic content.

Suspense comes from:

* atmosphere
* clues
* mystery

---

# EPISODE 10

# "After Midnight"

## Playtime:

15+ hours

Season finale.

---

The player discovers:

The anonymous account is connected to multiple students.

Someone has been collecting information about Ashwood High for years.

---

Final Choices:

## Trust Maya

Become an investigator.

## Trust Noah

Follow the hidden path.

## Trust Yourself

Create your own investigation team.

---

# SEASON 1 ENDINGS

## The Leader Ending

High reputation.

Many friends.

You become a major figure at school.

---

## The Detective Ending

You solve more mysteries.

Unlock hidden areas.

---

## The Outsider Ending

You stay independent.

Discover secrets others miss.

---

## The Champion Ending

Sports and competition focused.

---

## The Creator Ending

Arts and creativity focused.

---

# SEASON 1 REWARDS

Unlock:

* New clothing
* New hairstyles
* Apartment access
* Rare decorations
* Special emotes
* Vehicles
* Hidden locations
* Season 2 access

---

# POST-SEASON 1 FREE ROAM

After finishing Season 1:

Players can still:

* attend school
* work jobs
* build friendships
* explore
* replay missed missions
* collect items
* prepare for Season 2

---

**Season 1 Final Message:**

*"Ashwood Heights wasn't hiding one secret. It was hiding thousands."*

**AFTER MIDNIGHT — SEASON 2: HIDDEN TRUTHS** (unlocks next)

Skills: iPhone, Game Design, Animation, Illustration, 3D Modelling, Game Development, Roblox, Character Design

Develop STEM curriculum for coding, robotics, AI, 3D design, and digital skills for our youSTEM app.

What we need from you:
• Curriculum and syllabus design (K–12 & adult learning)
• Lesson plans, training modules, facilitator guides, and assessments
• STEM, coding, robotics, AI, 3D design, VR, digital skills, and interdisciplinary programs
• Learning experience design for workshops and professional training
• Content writing, editing, and simplifying complex educational topics
• Standards alignment (Cambridge, competency-based, scaffolded learning)
• Teacher and parent education materials

Are drones with lasers a possible solution for pest control? I want to have a panel discussion about this on YouTube.

Basically, to have a critical discussion of this: www.photonicinsecticides.com

Each panel member will have validated and discus a different aspect:
- eye safety
- energy requirements and cost per hectare
- cost comparison to cart based systems
- the aiming loop
- and biological reality: how does the target insect behave etc

Requirements: have a critical mind. Speak English well. Have some science degree. Be able to work with AI (Claude, codex, …) so that you can use those to validate the concepts and numbers.

Appreciated experience: computer vision expert, robotics, gaming or simulation.

The goals it to reduce the level of sceptisicm that people about about the possibility of this technology becoming real. I try this by having independent people speak free after having heard to arguments (and taking some time to have Claude etc validate the calculated numbers).

This is a bit of a special project. Hopefully I can find the right people for this.

Format: recorded zoom or google meet meeting.

Kr,
Nick

About Us

We are an established educational technology company serving schools, libraries, universities, and educational institutions across the United States and Canada.

Our portfolio includes robotics, STEM and STEAM resources, makerspace equipment, coding solutions, 3D printing, classroom technology, and innovative learning products that help educators create engaging, future-ready learning environments.

We are looking for an experienced **Education Growth & Partnerships Manager** to help us expand our presence in the education market and build a predictable pipeline of institutional opportunities.

**This is a strategic role—not a sales position and not a digital advertising role.**



Your Mission

Develop and execute a comprehensive growth strategy that increases awareness, builds relationships, and generates qualified opportunities with:

* K-12 schools
* School districts
* Universities and colleges
* Public and private schools
* Libraries
* Makerspaces
* STEM coordinators
* Curriculum leaders
* Technology directors
* Purchasing decision-makers

Your success will be measured by the quality and quantity of institutional opportunities you generate.

---

Responsibilities

### Education Market Strategy

* Develop our go-to-market strategy for the education sector.
* Identify priority customer segments and purchasing cycles.
* Understand curriculum needs and educational trends.
* Position our products according to educational outcomes rather than product features.

### Partnership Development

Build relationships with:

* Educational organizations
* Teacher associations
* Library networks
* STEM organizations
* Makerspace communities
* Educational influencers
* Purchasing cooperatives
* Strategic partners

Identify opportunities for partnerships, collaborations, and joint initiatives.

Lead Generation (Non-Paid)

Design and execute initiatives such as:

* Webinars
* Downloadable guides
* Funding and grant resources
* Case studies
* Email campaigns
* Conference participation
* Community engagement
* Referral programs
* Partnership campaigns

Generate qualified institutional leads without relying solely on paid advertising.

Content & Messaging

Work with our internal team to develop:

* Educational messaging
* Landing page recommendations
* Customer success stories
* Funding and grant resources
* Product positioning
* Campaign themes
* Seasonal marketing initiatives

CRM & Lead Management

* Define lead qualification criteria.
* Improve lead nurturing processes.
* Track opportunities throughout the buying journey.
* Recommend marketing automation improvements.

Collaboration

Work closely with:

* Paid Media Specialist
* Sales team
* Content creators
* Designers
* Product managers

---

We're Looking For Someone Who Has

* Experience marketing or selling to educational institutions.
* Deep understanding of how schools and libraries evaluate and purchase educational products.
* Experience with long sales cycles and institutional buying processes.
* Strong strategic thinking and project management skills.
* Excellent written and verbal communication.
* Ability to create and execute growth initiatives from concept to implementation.

---

Highly Preferred Experience

Experience in one or more of the following:

* Educational technology (EdTech)
* Robotics
* STEM / STEAM education
* Makerspaces
* Curriculum resources
* Educational publishing
* Classroom technology
* School procurement
* Library products

Experience working with purchasing cooperatives such as Sourcewell, OMNIA Partners, or similar organizations is a strong advantage.

---
Success in This Role

Within the first six months, we expect you to help us:

* Increase qualified institutional leads.
* Build strategic partnerships.
* Launch webinars and educational campaigns.
* Develop high-value educational resources.
* Improve our presence within the education community.
* Establish a scalable institutional marketing strategy.

---

To Apply, Please Include

1. Education Experience

Describe your experience working with schools, districts, universities, libraries, or educational organizations.

What products or services were you responsible for?

---

2. Growth Strategy

If you had a **$2,000 monthly marketing budget**, how would you generate qualified leads for robotics and STEM products sold to K-12 schools in the United States?

Please be as specific as possible.

---

3. Partnerships

Describe one partnership, outreach initiative, webinar series, conference strategy, or educational campaign that produced measurable results.

---

4. Institutional Buying

What do you believe are the three biggest factors influencing a school's purchasing decision for STEM or educational technology products?

---

5. Results

Share measurable outcomes from previous work whenever possible, such as:

* Qualified leads generated
* Partnerships established
* Webinar registrations
* Pipeline growth
* Customer acquisition
* Revenue influenced

---

Please Do Not Apply If

* Your experience is limited to eCommerce or consumer marketing.
* You primarily manage Google Ads or Meta Ads.
* You have never marketed or sold to educational institutions.
* You cannot provide examples of measurable business impact.

---

Engagement

* Remote
* Part-time initially (with potential to grow)
* Long-term opportunity

We are looking for someone who thinks strategically, takes ownership, and is excited to help shape the growth of an established education technology business across North America.

Join our team to build 3 AI agents for a Lego assembly machine. The project involves taking a Lego build, identifying the pieces, and creating a life-like assembly process. We are looking for someone with expertise in AI and automation, particularly in machine learning and computer vision. Experience in robotics and mechanical engineering is a plus.

We are a company developing AI-powered software and automated cells for industrial robots, focused on mixed palletizing in logistics. We design, install, and support these cells end-to-end for our clients.
We are looking for a mechanical designer with strong CAD data organization skills, not just someone who models parts. Our engineering philosophy favors buying components from suppliers over custom fabrication, so most of the work involves structuring, cleaning, and standardizing large imported assemblies from external vendors and freelancers — rather than pure 3D modeling from scratch.
What you'll do:

Organize large imported assemblies in Onshape: fix hierarchy, naming, references, and broken links.
Define and enforce naming conventions and part properties (material, supplier, part number, status, etc.) that feed our ERP (Odoo) BOM.
Work with configurable parts/assemblies using Onshape variables and configurations.
Help define components and standard subassemblies to reduce part proliferation across our product lines.
Collaborate with other freelance designers and clean up/standardize their deliverables.

Requirements:

- Proven experience with Onshape beyond basic modeling: document structure, versions/branches, configurations. IF YOU DON'T HAVE EXPERIENCE WITH ONSHAPE, DON'T APPLY!
- Experience managing large, messy, or imported assemblies — not just clean in-house models.
- Solid understanding of CAD metadata/properties and how they connect to BOM/ERP systems.
- Background in industrial mechanical design (structures, sheet metal, machined parts); automation/robotics/logistics experience is a strong plus.
- Methodical, detail-oriented, comfortable proposing conventions and standards, not just following instructions.

Nice to have:

- Speaks easily Spanish
- Experience with PLM concepts or tools.
- Familiarity with structural profile systems, actuators, or industrial component catalogs (Bosch Rexroth, item, Festo, etc.).

This is an ongoing collaboration, not a one-off task — we're looking for someone who can become a long-term extension of our mechanical engineering process.

# Senior Paid Media Strategist (Education & EdTech) – Google Ads, LinkedIn, Meta (US & Canada)

## About Us

We are an established educational technology company serving schools, libraries, universities, and educational institutions across the United States and Canada.

Our portfolio includes robotics, STEM and STEAM resources, makerspace equipment, coding solutions, classroom technology, 3D printing, and innovative educational products.

We are looking for a **Senior Paid Media Strategist** to build and scale a high-performing paid acquisition engine that generates qualified institutional leads—not consumer sales.

This is **not** a campaign management role. We are looking for someone who thinks strategically, challenges assumptions, and recommends the best channels based on data and the way educators actually discover and purchase products.

---

## Your Mission

Design, execute, and continuously optimize a paid media strategy that generates qualified leads from:

* K-12 schools
* School districts
* Universities and colleges
* Libraries
* STEM coordinators
* Curriculum leaders
* Technology directors
* School administrators
* Purchasing decision-makers

Your objective is to generate high-quality opportunities while continuously improving cost per qualified lead and return on ad spend.

---

## What Makes This Role Different

We are **not** looking for someone who automatically says:

* "Let's run Google Ads."
* "Let's boost Facebook posts."
* "Let's launch Meta campaigns."

We want someone who first asks:

* Where do teachers actually search for solutions?
* Which platforms influence school purchasing decisions?
* Is Google Search the right channel for this product?
* Should we prioritize LinkedIn for administrators?
* Is Meta best used for remarketing rather than prospecting?
* Should YouTube, Microsoft Ads, Reddit, Pinterest, or another platform be part of the strategy?
* Which channels perform best at each stage of the buying journey?

We expect you to recommend the right media mix—even if it challenges our initial assumptions.

---

## Responsibilities

### Paid Media Strategy

Develop a comprehensive acquisition strategy across the platforms that make the most sense for the education market.

Potential channels include:

* Google Search
* Performance Max
* Demand Gen
* YouTube
* LinkedIn Ads
* Meta Ads
* Microsoft Ads
* Other relevant paid channels

Your recommendations should always be supported by data and experience.

---

### Campaign Management

* Build campaigns from the ground up.
* Develop keyword strategies.
* Create audience segmentation.
* Design remarketing funnels.
* Optimize bidding strategies.
* Conduct A/B testing.
* Improve Quality Score and conversion rates.
* Continuously reduce Cost per Qualified Lead (CPL).

---

### Landing Page Optimization

Collaborate with our team to improve:

* Landing pages
* Calls to action
* Lead forms
* Messaging
* Conversion rates

You should understand that great advertising depends on great landing pages.

---

### Analytics & Reporting

Track and improve:

* Qualified leads
* Cost per qualified lead
* Conversion rate
* Return on ad spend (ROAS)
* Customer acquisition cost (CAC)
* Pipeline contribution

Provide clear recommendations based on performance data—not just reports.

---

## Required Experience

You must have proven experience managing paid media campaigns that generate leads for one or more of the following:

* Schools
* School districts
* Universities
* Libraries
* Educational technology (EdTech)
* Public sector organizations

If your experience is primarily in eCommerce, retail, or direct-to-consumer brands, this role is probably not the right fit.

---

## Highly Preferred

Experience promoting products or services such as:

* Educational technology
* Robotics
* STEM or STEAM programs
* Makerspaces
* Classroom technology
* Educational software
* Professional development for educators
* Library products

---

## We're Looking For Someone Who

* Thinks like a business owner.
* Understands long institutional buying cycles.
* Knows how different decision-makers discover and evaluate products.
* Uses data to make decisions.
* Challenges conventional thinking when appropriate.
* Can explain *why* a platform should or should not be used.

---

## To Apply, Please Include

### 1. Education Sector Experience

Describe your experience running paid campaigns for schools, districts, universities, libraries, or other educational organizations.

If you have no education-sector experience, explain why your experience is directly transferable.

---

### 2. Best Platform Strategy

If you were launching a campaign to promote robotics and STEM products to K-12 schools in the United States, which paid channels would you prioritize during the first six months?

Explain:

* Which platforms you would use.
* Which audiences you would target.
* Why you selected those platforms.
* Which platforms you would *not* use initially, and why.

---

### 3. Google Ads Case Study

Provide a real campaign including:

* Industry
* Monthly budget
* Campaign type
* Click-through rate (CTR)
* Conversion rate
* Cost per lead (CPL)
* Business results

---

### 4. LinkedIn or Meta Campaign

Describe a B2B campaign you managed.

Explain:

* Target audience
* Budget
* Objective
* Results
* What you learned

---

### 5. A Campaign That Failed

Describe a campaign that underperformed.

What caused the problem?

How did you identify it?

What changes did you make?

What was the outcome?

---

## Please Do Not Apply If

* You simply manage advertising accounts without contributing to strategy.
* You only run eCommerce campaigns.
* You cannot explain your decision-making process.
* You cannot provide measurable business results.
* You have never managed lead-generation campaigns for organizations or institutions.

---

## Engagement

* Remote
* Part-time initially
* Long-term opportunity

We are looking for a strategic partner who understands that successful paid advertising is about generating qualified institutional opportunities—not just increasing clicks or impressions.

Job Title: MuJoCo Task Developer for LLM Reinforcement Learning Dataset

We are looking for an experienced MuJoCo/Robotics Engineer to create high-quality MuJoCo benchmark tasks for LLM reinforcement learning.

Responsibilities:

Design MuJoCo tasks (MJCF/XML, morphology, controllers, or debugging tasks)
Write clear task instructions (instruction.md)
Implement deterministic automatic graders (compute_score.py)
Create reference solutions and baseline solutions
Ensure tasks are reproducible, verifiable, and follow the provided guidelines

Requirements:

Strong experience with MuJoCo and MJCF
Python programming skills
Knowledge of robotics simulation and kinematics/dynamics
Experience designing evaluation scripts or automated testing
Ability to create deterministic, code-verifiable scoring criteria

Nice to Have:

Experience with reinforcement learning (RL)
Familiarity with LLM evaluation or benchmark creation

We will provide detailed task design guidelines. Please include examples of previous MuJoCo or robotics simulation work in your proposal.

Skills: Python, Electronics, Electrical Engineering, Robotics, Arduino, AI Research, Reinforcement Learning, AI Development

I’m building a handheld device that lets me roll a ball across any flat surface and have it actively steer itself so the pen mounted inside draws in the exact direction I choose. An optical-flow sensor will read surface motion, my code will translate that into heading commands, and two small motors inside the ball will supply the corrective spin.

The overall sketch is already under way, but I need a specialist who knows Arduino-style hardware and, more importantly, how to marry miniature motors with an ESP32-C module for precise directional control of the ball. Your main focus will be advising on the right motor format, driver circuitry, power budgeting, and the physical/electrical integration so the firmware can call simple functions like setHeading() or setVelocity(). I’m comfortable writing and iterating the code itself once the hardware layer is solid.

Key deliverables
• Recommend readily available, lightweight motors (plus drivers) that can fit in a ~40 mm sphere and still deliver smooth bidirectional torque.
• Provide wiring diagrams and pinouts showing clean integration with the ESP32-C and the optical-flow sensor.
• Validate the control approach: PWM timing, current limits, encoder or hall feedback if it improves accuracy.
• Offer test routines I can flash to prove the motors respond correctly before I fold them into the main sketch.

If you have prior experience putting steppers, tiny DC gear motors, or servos inside toys, robots, or art installations, that insight will be invaluable here. I’m happy to prototype on breadboard first; once we confirm performance, I’ll 3-D print the final shell. Looking forward to your ideas on turning this rolling plotter into reality.

Skills: Electronics, Microcontroller, PCB Layout, Robotics, Arduino, Circuit Design, Embedded Systems, Motor Control

Are you a scientist, engineer, or programmer with a knack for storytelling? Do you love breaking down complex technical concepts into captivating, bite-sized social media content? If so, we want to work with you!

We are seeking a creative STEM Content Creator to help us translate technical topics into meaningful, high-impact social media posts that spark curiosity and inspire K-12 students, educators, and supporters.

Your mission will be to create 4 high-quality posts per month, tailored for our main social media platforms (including LinkedIn, Facebook, Instagram, and X).

Key Responsibilities
Translate Complex STEM Concepts: Take technical ideas (robotics, physics, coding, biology, space, etc.) and turn them into highly accessible, engaging, and scientifically accurate social media content.

Format-Specific Creation: Adapt each monthly topic into a cohesive set of assets tailored to different platforms:

Instagram: Visually driven graphics, carousels, or short-form video scripts (Reels).

X (Twitter): Concise, catchy, and hashtag-optimized text.

Facebook: Informative, community-focused posts with strong call-to-actions.

Graphic/Visual Support: Design simple, clean, and eye-catching graphics or suggest visual directions (using Canva, Figma, etc.) that align with our brand identity.

Keep It Fun & Inspiring: Ensure the tone is warm, inspiring, and accessible, never dry or purely academic.

Required Skills & Experience

Strong STEM Background: Undergraduate degree (completed or in progress) in Physics, Engineering, Computer Science, or a related technical field. You must understand the science you are writing about.

Social Media Copywriting: Proven experience writing engaging copy for LinkedIn, Instagram, X, and Facebook.

Visual Literacy: Basic graphic design skills (Canva or equivalent) to pair your copy with compelling visuals.

Educational Lens: Passion for K-12 education, public science communication, or youth outreach is a massive plus.

Reliability: Ability to deliver 4 complete post packages (copy, hashtags, and visual assets) on schedule each month.

Deliverables & Scope
Volume: 4 master posts per month.

Format: Each of the 4 posts must be packaged for LinkedIn, Facebook, Instagram, and X (meaning variations in text lengths, formatting, and optimized image aspect ratios).

Collaboration: Brainstorm topics with us at the start of each month and deliver drafts for review.

How to Apply
Please submit your proposal with:

A brief introduction explaining your background in STEM and why you love science communication.

Examples of your work: Links to social channels you've managed, design portfolios, or writing samples where you've explained a technical topic to a general audience.

Your proposed monthly rate for the 4 platform-tailored posts.

3D LiDAR Point Cloud Bounding Box Annotation (Object Detection)

Project Description:
Overview:

We are looking for experienced data annotators to perform high-quality 3D LiDAR bounding box labeling (cuboid annotation) on point cloud datasets for autonomous driving/robotics perception models.

Scope of Work:

Annotate Objects: Draw tight, precise 3D bounding boxes (cuboids) around target objects in point cloud scenes.

Classes to Label: Vehicles (cars, trucks, buses), Pedestrians, Cyclists, and Miscellaneous obstacles.

Orientation & Heading: Correctly align the orientation vector (yaw/heading direction) of each bounding box.

Temporal Tracking (Interpolation): Track objects across sequential frames, ensuring consistent object IDs and smooth transitions.

Strict Quality Control: Adhere to strict labeling guidelines regarding box tightness, minimum point count thresholds, and ground-level alignment.

Required Skills & Experience:

Proven experience with 3D Point Cloud / LiDAR annotation (not just 2D image labeling).

Familiarity with standard annotation platforms (e.g., CVAT, Supervisely, Scale AI, LabelCloud, BAT, or similar tools).

Strong spatial awareness and understanding of $X, Y, Z$ coordinate systems and pitch/yaw/roll rotations.

High attention to detail—accuracy and consistency are critical for this project.

Project Details:
Dataset Format: .pcd or .bin files.
Volume: Initial batch of [Insert number, e.g., 500] frames. Successful completion will lead to long-term, ongoing work.
Tool: We will provide access to the labeling platform [Or specify: "Please specify which LiDAR annotation tools you are proficient in"].

How to Apply:
To be considered, please reply with:

A brief summary of your 3D LiDAR annotation experience.
A screenshot or link to past 3D annotation work (if available).
Your availability (hours per week) and your estimated rate per 100 frames.

Note: Shortlisted candidates will be asked to complete a quick, 3-frame qualification test to demonstrate their labeling accuracy.

Skills: 3D Rendering, 3D Modelling, 3D Animation, OpenGL, Computer Vision, 3D Visualization, Object Detection, AI Development

I want to turn a concept for a pneumatic actuator into a working prototype that can grip or clamp objects with repeatable, controllable force. The job spans mechanical design, pneumatic circuit sizing, and the embedded-software layer that will let me test different grip profiles through a simple interface.

Scope
• Translate my sketches and performance targets into detailed CAD ready for rapid manufacture (CNC, SLA or FDM are all fine).
• Select off-the-shelf valves, fittings and sensors, then size the cylinder and air supply so the gripper reaches its force and stroke goals.
• Develop quick-change firmware or a ROS/Arduino node that lets me adjust pressure, speed and dwell time from a laptop while logging position/force data.
• Assemble and bench-test the unit, capturing video and basic data traces that prove smooth, backlash-free clamping across the full range.

Acceptance criteria
– Grips 0-50 mm objects with <0.5 mm repeatability.
– Delivers up to 150 N closing force at 6 bar.
– Response time from open to full clamp under 0.3 s.
– All native files (CAD, code, BOM) handed over and build is reproducible with common components.

When you reply, please include past work that shows similar pneumatic, robotic or mechatronic prototypes you have taken from design to proof-of-concept. Links, short videos or photos are perfect—I only need to see what you have already built to understand your fit for this project.

Skills: Electronics, Mechanical Engineering, PCB Layout, Product Design, Robotics, Arduino, Embedded Systems, CAD / SolidWorks

Norigen is an early-stage cyber security startup. We help EU manufacturers secure the software inside the products they sell, ahead of the EU Cyber Resilience Act. We are looking for a freelance appointment setter to book discovery calls with the right people through LinkedIn (personal account needed).

Pay is USD 50 per qualified lead. No limit for qualified leads.

A qualified lead is a call booked into our founder's calendar, and attended, with a contact who meets all of the following:

- EU manufacturer with HQ in the Nordics. Germany, Netherlands or Belgium preferred,
- Above €5m revenue, sweet spot €20m to €500m,
- Makes a product with digital elements: embedded software, connected sensors, controllers, gateways, smart-building systems, robotics, energy or logistics devices
- Target contact is a Head of Product Security, CTO, VP Engineering, Head of R&D, or a similar technical, product or compliance owner.

No-shows and contacts outside these criteria are not payable.

What we provide:
a full brief, the target criteria, a starter list of companies, and ready-to-use LinkedIn message templates.
Our founder runs the calls himself, so you do not pitch or demo.

What you do: find the right companies and people, send connection requests and messages on LinkedIn, and book calls into our Calendly.

Scope of Work
AI/ML-Based Predictive Active Hydro-Pneumatic Suspension Control Software Development
Project Overview

We are developing an Active Hydro-Pneumatic Suspension System for a heavy off-road defence/mining vehicle. The mechanical suspension, hydraulic system, proportional valves, ECU hardware, and sensors are being developed in-house.

The objective of this project is to develop an AI/ML-based suspension control algorithm capable of operating in two configurations:

Configuration A: Accelerometer-based Active Suspension Control.
Configuration B (Optional): LiDAR-assisted Predictive Active Suspension Control.

The software shall automatically control the proportional hydraulic valves to achieve optimum ride comfort, vehicle stability, and suspension performance.

Scope of Development
Phase 1 – Sensor Integration

Develop software interfaces for the following sensors:

Mandatory
3-axis Accelerometer
Gas Pressure Sensor (Hydro-Pneumatic Suspension)
Suspension Position / Displacement Sensor
Vehicle Speed Signal
Optional
Steering Angle Sensor
LiDAR Sensor (for predictive mode)

Note: Hydraulic pressure sensors, GPS and RGB cameras are not part of the present scope.

Phase 2 – Active Suspension Control

Develop the suspension controller capable of:

Processing accelerometer signals
Estimating road-induced vibration
Determining suspension response requirements
Controlling proportional hydraulic valves
Regulating valve opening and closing continuously
Optimizing damping characteristics
Minimizing vertical acceleration transmitted to the vehicle body

The controller shall support multiple terrain conditions while maintaining ride comfort and stability.

Phase 3 – Predictive Suspension (Optional)

If LiDAR is available:

Develop predictive algorithms capable of:

Reading terrain profile ahead of the vehicle
Predicting wheel impact
Pre-adjusting proportional valve opening
Optimizing damping before obstacle impact

The software architecture shall be modular so that LiDAR functionality can be enabled or disabled without affecting the accelerometer-based control strategy.

Phase 4 – AI/ML-Based Adaptive Learning

Develop machine learning algorithms capable of learning from:

Suspension displacement
Vehicle acceleration
Vehicle speed
Gas pressure
Driver inputs (if steering signal available)

The controller shall progressively improve suspension performance by adapting valve control parameters under varying operating conditions.

Phase 5 – Suspension Health Diagnostics

Develop intelligent diagnostic algorithms capable of detecting:

Gas leakage
Proportional valve degradation
Sensor failures
Abnormal damping characteristics
Seal wear

The system shall generate diagnostic warnings and maintenance recommendations based on observed suspension behaviour.

Phase 6 – Control Strategy

Develop software capable of:

Real-time proportional valve control
Adaptive damping control
Ride comfort optimization
Roll mitigation (using available sensors)
Pitch mitigation (using available sensors)
Fail-safe operation during sensor failure
Manual tuning of controller parameters
Phase 7 – User Interface

Develop a graphical interface displaying:

Vehicle acceleration
Suspension displacement
Gas pressure
Valve command
Suspension operating mode
Diagnostic status
Alarm messages
Historical performance trends
Deliverables

The selected developer/team shall provide:

Complete source code
AI/ML models
Control algorithms
Embedded software
GUI software
Documentation
Installation guide
Parameter tuning guide
Testing report
Support during integration with our hardware
Preferred Technical Skills
Vehicle Dynamics
Active Suspension Systems
Control Systems
Machine Learning
Signal Processing
Embedded Systems
Python
C/C++
MATLAB/Simulink (preferred)
CAN Communication
Real-Time Control Systems
Additional Recommendations

Preference will be given to AI/ML companies, university research groups, or multidisciplinary engineering teams with proven experience in:

Active or Semi-Active Suspension Systems
Vehicle Dynamics and Chassis Control
Automotive Control Algorithms
Heavy Off-Road Vehicles
Mining Equipment
Defence Mobility Platforms
Robotics and Autonomous Ground Vehicles
Real-Time Embedded Control Systems
AI/ML applications in mechatronic systems

Applicants should demonstrate previous work in control systems, embedded AI, or intelligent vehicle technologies. Experience in simulation tools such as MATLAB/Simulink, CarSim, AMESim, or similar vehicle dynamics software will be considered an advantage

Skills: Python, Mechatronics, Embedded Systems, Signal Processing, Predictive Analytics, AI Development, MATLAB/Simulink, Sensor Integration