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We’re building real-world AI systems for businesses — not demos, not hype.

I’m a Silicon Valley Enterprise Architect (20+ years) shifting into AI-driven solutions. My time is moving client-facing, and I’m looking for someone to become my right hand in execution.

This is not a typical VA role.

You’ll be building, testing, breaking, and improving systems using AI agents, side by side with me.

If you’re the type who wants ownership, growth, and to actually build something meaningful, keep reading.

⸻

What You’ll Do

* Take structured “build packs” (requirements + intent) and execute builds using AI agents
* Test, validate, and refine outputs (not just accept them)
* Document everything (decisions, tradeoffs, architecture)
* Identify issues before I see them
* Suggest better approaches (this is expected, not optional)
* Continuously improve workflows and agent performance

⸻

What This Is NOT

* Not a task-only VA role
* Not “follow instructions blindly”
* Not short-term

⸻

What I’m Looking For

* Strong curiosity and problem-solving mindset
* Experience using AI coding tools (Claude Code, OpenAI, local models, etc.)
* Ability to debug and think beyond outputs
* Comfortable working with:
* Node.js / Python
* Git / repos / version control
* APIs and integrations
* Clear communicator (written + async updates)

⸻

Bonus Points

* Experience with agent workflows (AutoGPT-style, multi-agent, etc.)
* Familiar with cloud environments (GCP preferred)
* Has built and shipped something real (show me)

⸻

How We’ll Work

* I handle: architecture, client strategy, final validation
* You handle: execution, testing, iteration
* We collaborate on brainstorming, improvements, direction, GTM, etc.

⸻

Compensation

* Base monthly pay (based on experience)
* Performance-based bonuses tied to delivery and company revenue
* Profit sharing opportunities
* Opportunity to grow into a core role as we scale

⸻

Application Requirements

Please include:

1. Links to 2–3 repos or projects you’ve worked on. I want to see both the code and the product.
2. A short explanation of something you built using AI tools.
3. Answer this: “Tell me about a time an AI-generated solution was wrong. How did you identify it and fix it?”
4. If I gave you a vague requirement and asked you to build it, how would you approach it?

We are seeking an experienced AI/ML Engineer to design, develop, and optimize GPU‑accelerated AI video upscaling solutions. The role involves working with deep learning models for super‑resolution, enhancing video quality, reducing artifacts, and ensuring high performance on modern GPU architectures for real‑time or batch processing pipelines.

Senior AI / LLM Engineer

We are seeking a Senior AI Engineer to design and build production-grade LLM systems, including RAG pipelines, multi-step workflows, and scalable inference services. This role focuses on system architecture, performance optimization (latency, cost, accuracy), and reliable deployment of AI-powered applications.

Key Requirements:

* Strong experience with LLM systems (RAG, embeddings, retrieval, prompt optimization)
* Ability to design scalable, production-ready AI pipelines
* Experience with evaluation, hallucination mitigation, and system performance tuning
* Solid backend skills (Python, APIs, distributed systems, cloud)
* Proven track record delivering real-world AI systems with measurable impact

I run a startup called Kuro AI that builds AI voice receptionists for businesses.

I’m looking for a developer to help build a reusable AI receptionist system that can:

• Answer incoming phone calls with a natural AI voice
• Respond to common FAQs from a knowledge base
• Book appointments into Google Calendar
• Send an SMS asking for a Google review after appointments

The goal is to create one base system that can be reused for multiple businesses, where we only change the business information and FAQs.

Technologies that may be used:
• OpenAI
• Twilio
• Google Calendar API
• Voice AI frameworks like Vapi or Retell AI

This will start as a small project, but could become long-term work as we onboard more clients.

Please include:

Any AI voice or AI agent projects you’ve built
The tech stack you recommend
Estimated cost and timeline

Looking forward to connecting.

— Jaron
Founder, Kuro AI

I’m looking for someone to perform a simple and quick task: deploy a chatbot that is already fully developed. The project is basically ready — all code and structure are done. I only need help with uploading, configuring, and making it run online (24/7).
UBUNTU

Scope:
- Deploy on Discloud or VPS
- Install dependencies (Node.js)
- Ensure continuous running (PM2 or similar)
- Assist with WhatsApp QR code authentication
- Final testing

Important:
- No coding required
- No new features needed
- Only deployment
Deploy de Chatbot Node.js (Projeto já pronto – apenas publicação)

Descrição:
Estou em busca de um profissional para realizar um serviço pontual de deploy de um chatbot já desenvolvido.

O projeto encontra-se praticamente finalizado, com toda a estrutura e código prontos. A necessidade é exclusivamente realizar o upload, configuração e publicação, garantindo que o bot funcione corretamente em ambiente online (24h).

Escopo do trabalho:

Subir aplicação em plataforma como Discloud ou VPS
Instalar dependências (Node.js, bibliotecas)
Configurar execução contínua (ex: PM2, se necessário)
Auxiliar na autenticação (QR Code WhatsApp)
Validar funcionamento final

Importante:

Não é necessário desenvolvimento adicional
Não há necessidade de criar novas funcionalidades
Apenas deploy e ajustes mínimos, se necessário

Diferencial:

Experiência com bots de WhatsApp (ex: wwebjs)

💰 Aberto a propostas (serviço rápido)

We are building an AI-powered English language tutor for children ages 6–14. The tutor teaches through interactive 3D characters using a conversational, Socratic-driven approach — the AI drives the lesson, not the student. This is not a chatbot. It is a structured educational experience with lesson progression, modular blocks, assessment, and real-time adaptation to the child's level.

The platform is built on Claude (Anthropic API). We need a technical lead who will own the entire AI architecture and lead the engineering build from prototype to pilot deployment in three countries.

What you will build:
— Conversational AI engine using Claude API with Socratic pedagogical architecture: Claude guides through questions and structured interaction, not open-ended chat
— Lesson state machine: each lesson consists of 5-minute modular blocks (direct instruction, guided practice, free interaction, drilling, summary, games, songs). The AI must track where the child is and manage transitions between blocks
— Student progress tracking: per-child proficiency model across vocabulary, grammar, listening, speaking. Data stored and used to adapt difficulty in real time
— Placement test system: a 7-minute group test (5 stages) and 90-second individual assessment per child
— Supervisor interface: a simple bilingual dashboard (source language + English on every button) where a non-English-speaking adult controls the lesson — start, pause, extend, skip, preview tomorrow's lesson
— Character integration: 8 animated 3D characters (purchased from marketplaces) must be displayed and triggered contextually during lessons
— Offline capability: the system must run on low-cost hardware ($50 Raspberry Pi class devices) with locally cached lessons for environments without reliable internet
— Multi-language support: the core system works in English, with source-language scaffolding layers for Armenian, Greek or Italian, and Spanish (Latin American)

What you will NOT do:
— Design the curriculum (a separate curriculum specialist handles the scope and sequence)
— Create the 3D characters (we source these separately; you integrate them)
— Teach or have pedagogical expertise (though understanding of educational software is a strong plus)

Requirements (must have):
— Strong experience with LLM API integration, specifically Claude/Anthropic (or demonstrable ability to transition from OpenAI/GPT)
— Experience building conversational AI applications with structured flows (not just simple chatbots)
— Ability to design and implement state management for complex multi-turn interactions
— Full-stack capability: backend (Python preferred), frontend (web or React Native), basic DevOps
— Experience deploying to low-resource environments (offline-first, edge computing) is a strong plus
— Available to commit 20–30 hours/week minimum

Strong preferences:
— Based in Armenia, or familiar with working in CIS/MENA time zones
— Experience with education technology or children's digital products
— Experience with speech-to-text and text-to-speech APIs for children's voices
— Familiarity with prompt engineering and conversation design for pedagogical purposes
— Experience building progressive web apps or cross-platform mobile applications

In your proposal, please include:

The most complex conversational AI system you have built — describe the architecture, what LLM you used, and how you handled state management across sessions
Your experience with Claude/Anthropic API specifically. If none, describe your experience with other LLM APIs and why you can transition
How would you approach making a conversational AI tutor work offline on a $50 device? Even a rough architectural sketch is valuable
Your availability and preferred engagement structure (hourly vs milestone-based)
A link to your GitHub or portfolio showing relevant work

This is a founding technical role in a research-driven startup with global ambitions. The right person will shape the entire technical architecture and grow with the project.

Build app from design on claude; set up database as well

We are seeking a highly skilled and proactive AI-Powered Virtual Assistant Specialist who can leverage modern AI tools and automation to streamline operations, improve productivity, and support business growth. This role goes beyond traditional administrative support, you will play a key role in optimizing workflows, enhancing customer experiences, and driving efficiency through smart systems.


Key Responsibilities

Utilize AI tools (e.g., ChatGPT, automation platforms) to support daily business operations
Automate repetitive tasks such as email responses, scheduling, data entry, and reporting
Manage and optimize CRM systems (e.g., HubSpot, Salesforce)
Assist with content creation using AI (social media posts, emails, blog drafts)
Conduct research and generate insights to support decision-making
Handle customer inquiries via email, chat, or social platforms with AI-assisted workflows
Build and maintain automated workflows using tools like Zapier or Make
Monitor performance metrics and suggest process improvements
Support project management tasks, including tracking deadlines and deliverables


Required Skills & Qualifications

Proven experience as a Virtual Assistant or in a similar remote role
Strong familiarity with AI tools (e.g., ChatGPT, Claude, Notion AI)
Experience with automation tools (Zapier, Make, or similar)
Knowledge of CRM systems such as HubSpot or Salesforce
Excellent written and verbal communication skills
High level of organization, attention to detail, and problem-solving ability
Ability to work independently and manage multiple tasks efficiently

• How do you handle sensitive information or records?

I’m building a hybrid artificial-intelligence pipeline that can spot low-flying drones by fusing two independent sensing channels: computer-vision video feeds and raw RF captures. The computer-vision branch will run YOLOv8 for real-time object detection on Anti-UAV and VisDrone frames, while the RF branch will pass HackRF / RTL-SDR captures (plus the DeepSig RadioML corpus) through a CNN trained on spectrograms.

Once both branches output their per-frame or per-burst confidence scores, I need a fusion layer—either a clear rule-based logic tree or a lightweight neural network—that decides when a drone is present. Whichever fusion strategy you implement, the final system must report Accuracy, Precision, Recall and False Alarm Rate on a held-out test split of each dataset.

Key technical notes
• Vision model: YOLOv8 (PyTorch) fine-tuned on Anti-UAV & VisDrone
• RF model: CNN on spectrograms (TensorFlow/Keras or PyTorch, whichever you are faster with)
• Fusion: rule engine or small MLP, well-documented so it can be swapped out later

Expected deliverables
1. Clean, reproducible training scripts for both branches and the fusion stage
2. Saved model weights and inference scripts capable of running on a single GPU (8 GB VRAM) or CPU-only fallback
3. Evaluation notebook or script that prints the four metrics and exports confusion matrices plus ROC curves in PNG/PDF
4. Brief write-up (2–3 pages) explaining data preprocessing, model choices, fusion logic and observed performance

Acceptance criteria
• Each metric computed on at least one public vision dataset and one RF dataset
• End-to-end inference latency under one second per sample on an Nvidia 3060 or equivalent
• All code packaged in a Git repo with a README that lets me replicate results with a single command

PyTorch, TensorFlow, scikit-learn, seaborn/matplotlib for plots and, if necessary, GNU Radio for SDR preprocessing are all fair game as long as dependencies are pinned in a requirements.txt or environment.yml.

If anything about the datasets, tooling or deliverables is unclear, flag it early so we can adjust before training begins.

Skills: Machine Learning (ML), Neural Networks, Keras, Radio Frequency, Signal Processing, Computer Vision, Deep Learning, Convolutional Neural Network

Looking for Part Time Ai Content Creator + UGC Content sourcing for 8 Figure Personal Care Brand.

We’re an ecommerce brand producing high-volume short-form video ads.

We’re hiring someone to source and generate visual assets (images, B-roll, AI content) that our editors use to build ads.

This is not a video editing role.

Your job is to:

Find the right visuals
Generate missing ones using AI
Prepare everything so editors can work fast and accurately

This role is detail-heavy. If you’re careless or guess often, this will not be a good fit.

The Role

You’ll be given:

A script
A reference video
And/or
A list of shots to source

For each project, you will:

1. Source Content

Find high-quality visuals from:

TikTok
Instagram
YouTube
Twitter/X
Google / Reddit

Types of content:

Skin conditions (eczema, acne, wrinkles, etc.)
Before/after transformations
Product usage (textures, routines)
Reaction clips / lifestyle visuals

When content doesn’t exist or isn’t usable:

Generate images using AI tools, you must stay up to date with the latest AI developments.

Requirements (Non-Negotiable)
Strong attention to detail
Ability to match visuals to context (not just “similar”)
Ability to identify skin conditions correctly
Experience sourcing content from social platforms
Experience using AI image tools

This Role is NOT for:
Beginners
People who rush and submit sloppy work
Anyone who needs constant supervision
People who cannot follow instructions precisely

Consistent performers will receive steady volume.

• What are the Top 3 Ai Video generation tools in your experience?
• What are the Top 3 Ai Image generation tools in your experience?
• Do you have your own AI subscriptions?
• Share a 3 min loom video talking about your experience with AI from previous jobs.

Compensation: $9–$11/hour
Location: Fully Remote
Schedule: 20–40 hours/week
Mandatory Sync Hours: 7:00 AM – 2:00 PM Pacific Time (U.S.)
Time Tracking: Upwork Automatic Time Tracker required

ABOUT ROSE LAW FIRM AND SENTRIC

Rose Law Firm (RLF) is a U.S.-based, business-focused law firm serving middle-market companies across litigation, corporate, and transactional matters. We operate as a fully remote, globally distributed team, including internationally trained lawyers working as Supporting Paralegals (SPs).

Sentric is our affiliated AI adoption and consulting platform, focused on helping law firms and businesses implement AI in a structured, scalable, and secure way.

We are building a world-class AI-enabled legal services platform—combining legal expertise, operational discipline, and advanced AI workflows.

Our core values:
Integrity. Excellence. Ownership. Coachability. Teamwork.

ROLE OVERVIEW

We are seeking an AI Systems & Legal Automation Specialist to join our team in a hybrid role that combines:

AI/ML implementation
Legal workflow design
Automation development
Internal tool building
Direct support to attorneys and paralegals
This is not a pure engineering role.
This is a systems role inside a law firm, where success depends on your ability to:

Translate legal problems into AI-enabled workflows
Build practical, usable tools (not theoretical models)
Work closely with lawyers, paralegals, and operations teams
Continuously refine outputs based on real-world usage
You will play a key role in helping RLF and Sentric become a market leader in applied legal AI.

CORE AREAS OF RESPONSIBILITY

1. Legal AI Workflow Development (Core Function)

Design and build AI-assisted workflows for:
Contract review and issue spotting
Legal document summarization
Due diligence analysis
Litigation document review
Discovery and case chronology development
Translate attorney needs into structured prompts, systems, and repeatable processes
Develop “AI recipes” that can be used by non-technical legal staff

2. Document Automation & Intelligent Systems

Build systems for:
Automated contract analysis
Clause extraction and classification
Risk flagging and compliance checks
Create scalable document pipelines using AI tools (e.g., ChatGPT, APIs, embeddings, vector databases where appropriate)
Improve consistency, accuracy, and speed of legal outputs

3. AI-Powered Internal Tools & Assistants

Develop and refine:
Internal legal research assistants
Client intake automation tools
AI chatbots for internal or external use
Integrate AI tools into daily workflows for attorneys and SPs
Help standardize how AI is used across the firm

4. Legal + AI Translation Layer (Critical Function)

Act as a bridge between:
Technical AI capabilities
Practical legal use cases
Work directly with:
Attorneys
Supporting Paralegals
Operations team
Convert ambiguous legal needs into structured systems and outputs

5. Prompt Engineering & Output Quality Control

Develop advanced prompting frameworks for legal use cases
Continuously test and refine outputs for:
Accuracy
Reliability
Hallucination risk reduction
Establish validation protocols for AI-generated legal work

6. Knowledge Systems & AI Infrastructure Support

Help build and maintain internal knowledge bases
Organize and structure legal data for AI use
Support integration with systems such as document management platforms and workflow tools

7. Training & Enablement

Train attorneys and paralegals on:
How to use AI tools effectively
Best practices for prompting and review
Create internal documentation, SOPs, and training materials
Help scale AI adoption across the organization

QUALIFICATIONS REQUIRED

4+ years of experience in AI/ML, automation, or applied AI systems
Strong experience with:
NLP (Natural Language Processing)
LLM-based workflows (e.g., GPT-based systems)
Demonstrated ability to build practical, user-facing tools (not just models)
Strong English communication skills (written and verbal)
Ability to work in a fast-paced, remote, team-driven environment

HIGHLY PREFERED

Experience working with:
Legal teams or legal workflows
Contract analysis or document-heavy domains
Familiarity with:
Prompt engineering frameworks
AI hallucination mitigation techniques
Workflow automation tools
Exposure to:
APIs and system integrations
Knowledge management systems
What Success Looks Like in This Role

Within 60–90 days, you should be:

Building AI workflows actively used by attorneys and SPs
Improving speed and quality of legal work output
Identifying and implementing new automation opportunities
Contributing to a growing internal library of AI tools and systems
Within 6 months:

Acting as a core architect of legal AI systems inside the firm
Helping define best practices for AI adoption across multiple teams
Contributing to Sentric-facing AI offerings for external clients

TECHNOLOGY & WORK REQUIREMENTS

Reliable high-speed internet
Professional-grade microphone and camera
Quiet, distraction-free workspace
Ability to run modern AI tools and cloud-based platforms
Mandatory use of Upwork time tracker

KEY TRAITS FOR SUCCESS

Systems thinker (not just task executor)
Strong problem-solving mindset
High ownership and accountability
Ability to operate with ambiguity and create structure
Coachable and open to feedback
Strong attention to detail and output quality
What We Offer

Fully remote role with a global, high-performing team
Direct exposure to cutting-edge AI applications in legal practice
Opportunity to help build a next-generation legal + AI platform
Rapid learning and growth in both legal and AI domains

HOW TO APPLY

Please submit:

Your CV
A brief cover letter explaining:
Your experience with AI systems and automation
Any work related to legal or document-heavy domains
Examples of AI tools, workflows, or systems you have built
Shortlisted candidates may be asked to complete a practical exercise or demonstration of an AI workflow.

UPWORK SKILLS (Required – Select 12)

Artificial Intelligence
Machine Learning
Natural Language Processing
GPT / LLM Prompt Engineering
Python (or equivalent scripting)
API Integration
Automation
Data Analysis
Chatbot Development
Document Automation
Process Design
Technical Communication

Create 1 realistic, studio-quality cinematic image from one photo.
Natural look, no heavy retouch.

automation and website building claude, n8n, openclaw, holotab

Overview
We are building a low-latency execution bot for a prediction market (Polymarket-style CLOB). This is not a research or ML problem — the edge is already known and structural.

This is a pure execution + infrastructure problem where milliseconds matter.

We are looking for a backend engineer with strong async Python and trading system experience to help optimize and extend the system.

What We’re Looking For
A Python backend engineer with deep experience in:

Async systems (critical)
Low-latency / HFT-style thinking
Real-time data ingestion + execution pipelines
Bonus if you’ve worked with:

Prediction markets
Order book trading systems (CLOBs)
Crypto trading infrastructure
Core Tech Stack
Python (asyncio, aiohttp)
WebSockets + REST APIs
PostgreSQL (asyncpg, Neon DB)
Chainlink Data Streams (WebSocket feed)
Polymarket CLOB (REST execution layer)
EVM wallets (Gnosis Safe)
Key Responsibilities
Optimize async event loop performance
Improve signal → execution → response latency
Integrate WebSocket + REST pipelines efficiently
Handle real-time market data ingestion
Implement and optimize order execution logic
Maintain high-performance DB queries for analytics/backfills
Specific Skills to Screen For
Python async (asyncio, aiohttp)
→ All hot-path code is async — sync patterns will break performance
Order book mechanics (bid/ask, FAK/FOK orders)
→ Execution layer depends on understanding CLOB behavior
WebSocket clients + HMAC-SHA256 auth
→ Required for Chainlink Data Streams + API access
PostgreSQL (advanced queries, LATERAL JOINs)
→ Used for analytics + backfill pipelines
Latency profiling / timing analysis
→ Critical for optimizing execution windows
EVM wallets / Gnosis Safe
→ Current auth stack uses signature-based execution
System Constraints
Exploitable window: ~288ms
Full signal → execution pipeline must remain extremely tight
Current signal → submit → response chain target: 1,370ms

Podcasters Onboarding on Opinify.ai
We are seeking an experienced onboarding specialist to help podcasters integrate and utilize the Opinify.ai platform effectively. Your role will involve guiding podcasters through the onboarding process, offering valuable insights, and ensuring a seamless transition. You should have a deep understanding of podcasting and the capabilities of Opinify.ai. The ideal candidate will provide personalized support, answer questions, and help podcasters maximize their experience. If you are passionate about helping others succeed in their podcasting journey, we want to hear from you!