Best freelance GIS work online

We are seeking an experienced GIS analyst or land use specialist to help us identify and map potential parcels suitable for building 2–4 unit multifamily properties (duplex, triplex, or quadplex) along the coast in Southeast Florida.

Project Focus:

Oceanfront parcels (east of A1A)
Intracoastal Waterway parcels (within approximately 500–800 feet of the ICW)

The goal is to find realistic opportunities to purchase land or redevelop existing properties for small-scale multifamily housing. We are particularly interested in vacant land and properties with redevelopment potential (teardowns or underutilized sites).

Key Criteria:

Zoned to allow at least 2–4 residential units (RS, RM, MU, or similar)
Adequate lot size for 2–4 unit buildings
Reasonable environmental and flood zone considerations
Preference for parcels with good development feasibility and market potential


Deliverables:

Interactive Map
A user-friendly interactive map (ArcGIS Online, Leaflet, or Google My Maps) showing all qualifying parcels with filters for zoning, size, flood zone, and status.
Excel/CSV Spreadsheet
A detailed spreadsheet containing the top 25–40 parcels with the following information:
Full address and city
Zoning and land use
Lot size (acres and square feet)
Estimated market value
Flood zone and environmental notes
Development potential and key observations

Professional Summary Report (PDF)
An 8–15 page report including:
Executive summary
Zoning and regulatory overview by city
Top 10–15 recommended parcels with photos or street view links
Key risks, opportunities, and recommendations
Methodology and data sources



Requirements:

Strong proficiency in GIS mapping and spatial analysis (ArcGIS Pro/Online or QGIS)
Experience researching and interpreting Florida zoning codes (especially Broward and Palm Beach County)
Comfortable working with public GIS data portals and county property appraiser records
Excellent skills in data organization, Excel, and professional report writing
Strong attention to detail and ability to deliver clean, well-organized work

Preferred (Nice to Have):

Background in civil engineering, land development, or urban planning
Previous experience with small multifamily or residential land feasibility studies
Knowledge of coastal development constraints (flood zones, environmental regulations)
Python scripting skills (a plus, as we already have some automation tools)


Timeline:

Timeline: 12 – 18 days from project start

How to Apply:
Please include the following in your proposal:

A brief overview of your relevant experience with GIS mapping and zoning/land use analysis
Links to 1–2 examples of similar work (maps or reports you’ve created)
Your proposed approach and estimated timeline
Any questions you have about the project

We look forward to working with someone who is detail-oriented, knowledgeable about Florida real estate and zoning, and able to deliver high-quality, actionable results.

I´m looking for a freelancer experienced in architectural execution drawings to support a residential building project in Portugal.

Job Description
We are looking for a freelancer experienced in architectural execution drawings to support a residential building project in Portugal.
Scope is strictly production.
All technical decisions and official signing will be handled by our licensed in‑house team.

Project Summary
Residential building: Ground floor + 2
Gross area: ~1,000 m²
Location: Cantanhede, Portugal
Architecture already submitted for municipal approval


Tasks
Execution floor plans (1:50), fully dimensioned
Sections and elevations (execution level)
Essential construction details
Door/window schedules (if required)
2D coordination support


Requirements
Proven experience in execution projects (not concept design)
Strong AutoCAD skills (mandatory)
Used to working with mark‑ups and revisions
Portfolio with execution drawings required (renders only are not sufficient)


Contract
Freelance / project‑based
Work divided into milestones
All deliverables become client property

Please apply with execution drawing samples, availability and rate.

We are seeking a skilled freelancer to create a GIS 3D flood model map of an area. The project involves modeling flow patterns through the site from rainfall, requiring expertise in hydrological analysis and 3D modeling. The ideal candidate will have experience in using GIS software and be able to deliver high-quality visualizations. This is a one off mapping requirement as a trial to see if it is useful for future works. if successful there will be other opportunities.

• Describe your recent experience with similar projects

I have a document that has a list of toilet and bbq locations. I need a map built with all of the locaitons added in so I can then start to work out efficient routine cleaning for those sites.

We are a land acquisition and development group based in the Carolinas. We buy off-market land and create value through flips, minor subdivisions, and major subdivisions across the Southeast US.

We've closed over 110 deals and are actively scaling in 2026.
We are a fully remote team with members across the US, Jamaica, Mexico, and the Philippines.

Communication and accountability are everything to us. We take care of our people, we pay consistently, and we expect commitment in return.

====

We're looking for a Junior Underwriter to support our Lead Underwriter with research, data collection, and preliminary deal analysis.

Your job is to help us build the data foundation that makes our deal decisions fast and accurate.

This role is ideal for someone who is detail-oriented, research-driven, and genuinely enjoys working in Excel, running numbers, doing property research, and digging through databases.

If you like spreadsheets and solving puzzles with data, this is your kind of work.

We're a growing company and we're looking for someone who wants to grow with us.

===

Core Responsibilities / This is how you will be spending your time.

1) Data Collection and Property Research (40%)

- Retrieve zoning information from county GIS systems

- Identify minimum lot size, subdivision rules, and restrictions

- Confirm utilities availability (water, sewer, access)

- Identify city limits status and relevant jurisdictional factors

- Flag environmental or regulatory constraints (flood zones, wetlands, easements)

- Research county subdivision ordinances and development regulations

==

2) Comparable Sales Analysis (25%)

- Identify and compile relevant land comps using Redfin, Zillow, county records, and MLS data

- Ensure comps meet defined criteria (location, zoning, size similarity, proximity, recency)

- Provide basic adjustments where applicable

- Clearly document all sources and assumptions

- Understand what makes a strong comp vs. a misleading one (zoning differences, topography, road type, utility access)

==

3) Preliminary Deal Analysis (20%)

- Develop initial subdivision/split assumptions based on zoning and ordinances

- Estimate potential lot count at a high level

- Highlight key risks or limitations of the property (access issues, wetlands, steep topography, weak comps)

- Prepare deal data packages for Lead Underwriter review

==

4) Basic Financial Modeling (15%)

- Build initial proformas in Excel using standardized templates

- Input revenue assumptions based on comps

- Apply predefined cost assumptions

- Generate ballpark pricing/offer ranges for initial outreach

====

Tools You'll Use
- County GIS systems (varies by jurisdiction)
- Redfin, Zillow, and MLS for comparable sales
- Google Sheets and Excel for proformas and analysis
- Mapping and due diligence platforms
- CRM for deal tracking and data entry
- Team communication tools

====

What We're Looking For aka Must-haves:

- Experience with land or real estate analysis (underwriting, appraisal, research, or similar)

- Comfortable navigating county GIS systems, zoning maps, and parcel data

- Strong Excel/Google Sheets skills (formulas, data organization, basic financial models)

- Excellent attention to detail. !! Sloppy data kills deals !!

- Ability to work independently and manage your own time within a structured process

- Reliable internet and a quiet workspace for full-time remote work

- Available Monday - Friday, 8:00 AM - 5:00 PM EST. This is non-negotiable.

- Strong written communication in English. Must be able to call cities, counties etc and ask questions.

==

Nice-to-haves:
- Familiarity with Southeast US land markets
- Experience with subdivision analysis or zoning research
- Understanding of flood zones, wetlands, and topography as they relate to land development

====

What Success Looks Like

In your first 30 days, you'll be trained on our systems, our deal types, and our underwriting process.

By day 60, you should be independently building deal data packages that our Lead Underwriter can review and act on with minimal back-and-forth.

By day 90, you should be handling the full research and preliminary analysis pipeline for incoming deals.

====

Our Core Values YOU MUST EMBODY and be bought into living these out

- Reliable: We show up on time and do what we say we'll do.
- Considerate: We treat people with respect and help where needed.
- Communication: Constant, clear communication is core to our success.
- Ownership: We take responsibility for solving problems and bring solutions, not just questions.

====

How to Apply. IF YOU DON'T ANSWER all three in your proposal I WILL NOT consider / read it.

In your proposal, please answer these three questions:

1. Walk me through how you would analyze a property you know nothing about.

2. How do you decide which properties are actually comparable when pulling comps?

3. What would you do if you can't find perfect comps or the data is incomplete?

We're not looking for "correct" answers. We want to see how you think through problems. We need thinkers that can solve problems not just people who can only do something if we tell them exactly what to do.

• Walk me through how you would analyze a property you know nothing about.
• How do you decide which properties are actually comparable when pulling comps?
• What would you do if you can't find perfect comps or the data is incomplete?

Looking for an experienced CVAT annotator for a focused polygon annotation project on aerial imagery.
Project scope:

84 UAV aerial tiles (1668×1668px GeoTIFF) of suburban city. Three classes to annotate per a detailed 10-page guide:
• Road (polygon) — paved vehicular thoroughfares only. NOT parking lots, driveways, or sidewalks.
• Poles (points) — placed at the base of pole, identified using shadow direction. Includes light poles, utility poles, traffic signal poles. Mailboxes, fire hydrants, signs do NOT count.
• Painted Lane Stripping (polygon) — all pavement markings: lane lines, turn arrows, stop bars, crosswalks, hatched zones, faded markings. Each marking = separate polygon.
Tool: CVAT web (https://app.cvat.ai/)
Deliverable: COCO 1.0 export (.json file)

Materials provided after hire:
• Detailed 10-page annotation guide PDF
• 5-min annotation demo video walkthrough
• JSON label config (paste-ready for CVAT)
• tile_coordinates_lookup file with Google Street View links for ambiguous tiles
• Zipped folder of all 84 .tif images
Critical rules (these decide quality):
1. Roads must NOT include parking lots, driveways, or sidewalks (most common error)
2. Pole points placed at the base, using shadow direction to find ground contact
3. Polygons can overlap — do NOT cut holes in polygons to accommodate other classes
4. Tree canopy occlusion: end polygon at visible edge, start a NEW separate polygon on the other side
When unsure, use the lookup file’s Street View links to verify
Style reference: Pages 7-10 of the guide show example annotations. Match that exact style — polygon vertex density, edge tightness, how faded markings are handled, pole base placement.
Estimated time: 10 hours of focused work
Deadline: Saturday, May 3, 12:00 PM EST (firm)

Three quick screening questions — please answer in your application:
1. Have you annotated aerial / drone / satellite imagery in CVAT before? Brief example or screenshot from your portfolio?
2. Confirm Saturday noon delivery is realistic given your current workload?
3. Are you comfortable strictly following a style guide where output is reviewed against specific examples?

Overview:
The Chamber is a master developer of data centers and power centers. We are evaluating 4 potential development sites in California for large-scale data centers utilizing Behind-the-Meter (BTM) power solutions.

We are seeking a high-level Infrastructure Consultant/GIS Analyst to assess site proximity, access potential, and technical constraints. We are NOT looking for a generic researcher. You must have independent access to professional-grade proprietary databases (e.g., FiberLocator, Enverus, Platts, ConnectBase) and the ability to produce engineering-ready geospatial deliverables.

Scope of Work:
For each of the 4 sites, you will provide a technical diligence memo and fully attributed .kml/.kmz files covering:

Fiber: Mapping of Backbone, Middle-Mile, and high-capacity ( over 100Gb) commercial routes. Identify carriers and physical route barriers (highway/rail/water crossings).

Natural Gas: Identify transmission-grade vs. distribution assets. Provide metadata on pipe diameter and MAOP (pressure) to assess suitability for on-site power generation.

Power & Geothermal: Proximity to 66kV+ transmission lines/substations and Known Geothermal Resource Areas (KGRAs) including heat-flow/temperature gradient data.

Site-Level Constraints: Identification of Right-of-Way (ROW) conflicts, terrain challenges, and environmental red flags.

Fatal Flaw "Stop-Work" Logic: If a site lacks high-capacity redundant fiber or viable transmission-grade gas within a specified radius, you are to cease work on that site immediately and notify us to avoid unnecessary billable hours.

Deliverables:

Consolidated .kml/.kmz files for all sites with data attributes (owner, capacity, pressure) embedded in the layers.

Technical Memo & Annotated Maps for each viable site.

Summary Scorecard ranking the 4 sites (1-10) based on infrastructure readiness.

Timeline & Legal:

Urgency: Final deliverables are due by Tuesday, 5/5 at 17:00 PST.

Compliance: Selected candidate must sign a Non-Disclosure Agreement (NDA) and a Consulting Agreement prior to receiving site coordinates.

Ideal Background:

Direct experience in telecom network planning, pipeline midstream review, or utility siting.

Expert proficiency in ArcGIS/QGIS and .kml data attribution.

Must possess independent subscriptions to infrastructure data platforms.

Application Instructions:
When responding, please answer the following questions specifically:

Data Access: Which proprietary databases (e.g., FiberLocator, Enverus, etc.) do you currently have active access to?

Fiber/Gas Capability: Can you specifically isolate 100Gb fiber routes and transmission-grade gas pressure data (MAOP)?

Portfolio: Can you provide a screenshot or sample of a previous infrastructure .kml file you have built (anonymized)?

Availability: Confirm you can meet the Tuesday, 5/5 deadline for 4 sites.

Quote: What is your estimated range of total hours for this 4-site project and your hourly rate?

Title : PostGIS + Vector Tiles Engineer (MapLibre, FastAPI)

Job Description : We’re building a geospatial intelligence layer inside an enterprise AI platform (Planck AI).

Looking for a strong engineer to set up and optimize a PostGIS → vector tiles → MapLibre pipeline to handle large, structured geo datasets (points, polygons, KPIs). This is a short, focused engagement to get a production-ready GIS foundation in place.

What You’ll Do
Configure and optimize PostGIS for large datasets
Build a vector tile (MVT) pipeline using pg_tileserv or custom API
Implement efficient tile queries (bbox filtering, indexing, zoom-based aggregation)
Integrate tiles with MapLibre GL JS
Set up layers like points, polygons, heatmaps, and KPI overlays
Requirements
Strong experience with PostGIS (indexes, query optimization)
Experience generating and serving vector tiles (MVT)
Familiarity with MapLibre / Mapbox GL
Python (FastAPI) preferred

Nice to Have
Experience handling high-density geospatial data

We're a small geospatial consulting company at an inflection point. We've clarified our service focus and we're ready to grow intentionally within that focus. What we need now is strategic guidance to make sure our messaging is consistent, our website(s) reflects our direction, and our outreach is speaking to the right buyers in the right way.

We have execution capacity in-house: a graphic designer and principals who can write and build. What we're missing is the strategic foundation. We need help with the messaging framework and positioning clarity that everything else flows from.

What we're looking for help with:
--Messaging and positioning for a geospatial consulting firm with two related service lines (open source workflows and Esri-based workflows)
--Ensuring consistency across our company brand and a specific product offering we're actively bringing to market
--Website messaging alignment (WordPress redesign in progress)
--Guiding our outreach so it speaks clearly to our actual buyers which include GIS coordinators, field program managers (along with the organizational decision-makers they report to) across environmental, infrastructure, and public sector organizations.

You're likely a good fit if you:
Have experience with B2B professional services or technical consulting firms
Understand how trust-based, longer sales cycles work
Lead with strategy and diagnosis before jumping to tactics
Are comfortable advising a small but growing team that handles most of the execution
Have done messaging or positioning work you can speak to specifically

You're probably not a good fit if you:
Primarily do social media management, SEO, or paid ads
Need to own all execution to be effective
Haven't worked with technical or specialized service businesses before

In general, we're looking to start with a focused messaging and positioning sprint, with potential for ongoing advisory as we grow. Open to hourly or project-based proposals...tell us how you work.

I need a Python + GIS / spatial data freelancer to build a clean, defensible model that links North American area codes (NPAs) to population and market clusters for an investor pitch and later implementation. This is geospatial + demographic work, not just simple web scraping.

There are 317 U.S licensable area codes (toll free numbers etc are obviously excluded)

There are 34 English-speaking Canadian licensable area codes - EXCLUDE QUEBEC / English-speaking Canada only.

Deliverable

A 351‑row table (CSV + Excel) with one row per licensable geographic area code, with at least:

NPA – 3‑digit area code

Country – US or CA

Province / state – 2‑letter code (e.g., FL, ON)

Anchor city – primary city/region (e.g., Miami, Tampa, Toronto)

Exclude toll‑free / special NPAs

Exclude Quebec codes

population – estimated people covered by that NPA (see method below)

Population band – one of:

A_3Mplus (≥ 3,000,000)

B_1to3M (1,000,000–2,999,999)

C_250kto1M (250,000–999,999)

D_75kto250k (75,000–249,999)

E_ Sub 75k (under 75,000)

cluster_id – market cluster label, e.g.:

Miami for 305, 786

Tampa_Bay for 813, 727

Orlando for 407, 689 (and 321 if included)

Toronto_GTA for 416, 647, 437, 905, 289, 365

Vancouver for 604, 778, 236, 672

Calgary for 403, 587, 825

Edmonton for 780, 587, 825

Solo_ main city for all other single‑code markets

After exclusions, I expect roughly:

~317 U.S. geographic NPAs, plus

34 Canadian geographic NPAs in English‑speaking provinces/territories (Quebec excluded)

351 total licensable geographic area‑code territories

Core task

Build the full NPA list and filter to licensable geographic codes (US + English‑speaking Canada, non‑geo and Quebec excluded).

Assign an anchor city/region and cluster id per NPA (with multi‑code clusters for obvious big markets like Miami, Tampa Bay, Orlando, Toronto/GTA, Vancouver, Calgary, Edmonton).

Attach a population estimate and band per NPA using a clear, documented method.

Acceptable methods (choose one and explain)

Option A – Metro‑proxy method (OK if documented well)

Map each NPA to a primary metro area based on its anchor city:

U.S.: CBSA / metro area (Census)

Canada: CMA/CA or census division (StatCan)

Use that metro’s population as the NPA’s population proxy.

Assign the population band based on that population.

IDEALLY AND PREFERRED – Full GIS intersection (ideal if you’re comfortable with it)

Use NPA boundary polygons (area code shapefile/feature service).

Intersect with Census 2020 (US) and StatCan 2021 (Canada) population polygons.

Compute population per NPA via area‑weighted sum.

Assign bands and clusters as above.

I’m fine with either approach as long as it’s transparent and internally consistent. This is for a VC pitch and pricing model, so I need to be able to explain the data lineage without hand‑waving.

Expected outputs

area_codes_population.csv and .xlsx with all fields above (351 rows after filtering).

1–3 page methods note (Markdown/Word/PDF) describing:

Data sources (links)

Filtering rules (non‑geo NPAs, Quebec NPAs)

How NPAs were mapped to metros or polygons

How population and bands were calculated

Any caveats

What to mention in your proposal

Whether you’d use metro‑proxy or full GIS (and why).

Tools/libraries you’d use (e.g., ArcGIS/QGIS + Python/GeoPandas/Shapely).

Any relevant experience with Census/StatCan, boundary files, area codes, or similar demographic/GIS work.

Rough timeline ASAP.

This is a well‑scoped project for someone comfortable with spatial data + demographics, and there’s potential for follow‑on work building models/visualizations on top of this.

We are building a geospatial market intelligence platform that aggregates, enriches, analyzes, and exposes large volumes of public and semi-public data, including government permits, regulatory filings, demographic and census data, parcel and property records, crime data, environmental data, parking and infrastructure inventory, zoning data, business activity, construction signals, and other location-based datasets.

The goal is to turn messy real-world data into a queryable, map-driven intelligence product that helps us identify market patterns, spatial relationships, development activity, business opportunities, and location-based trends.

This is not simple web scraping.
This is not email scraping, lead scraping, or collecting business names into a spreadsheet.

We need someone who can build serious data infrastructure around difficult public datasets. The right person can look at a vague target like:

"Find the public data that explains what is changing in this market, keep it fresh, and make it queryable."

...and turn that into a working pipeline.

You will be expected to identify sources, design the scraper or ingestion architecture, normalize the data, enrich it, store it properly, expose it through APIs or MCP servers, and help make it usable by AI agents, dashboards, and internal tools.

WHAT THIS ROLE COMBINES

This role requires a strong mix of:
• Senior Python and/or Node data engineering
• Advanced scraping, crawling, and ingestion architecture
• Public-data source discovery and evaluation
• Geospatial data processing
• PostGIS and spatial database design
• Entity matching, deduplication, and enrichment
• AI-agent workflow development
• MCP server development
• LLM-powered data querying and automation
• Production pipeline monitoring and reliability

We are looking for a builder who can think through unclear problems, make smart technical decisions, document those decisions, and ship working systems without needing step-by-step instructions for every task.

WHAT YOU'LL OWN

You will build and maintain ingestion systems for public and semi-public datasets across federal, state, county, and municipal sources.

Your responsibilities may include:
• Building scrapers, crawlers, ingestion bots, and API connectors for complex public data sources
• Creating custom Python, Node, Playwright, BrowserUse, Crawlee, or Apify-style automation where normal API access does not exist
• Designing reliable automation strategies for difficult public portals, including session handling, retries, queueing, rate limits, source-change detection, and monitoring
• Working with geospatial data pipelines using PostGIS, shapefiles, parcels, geocoding, spatial joins, Mapbox, Leaflet, or similar tools
• Normalizing messy data across permits, parcels, ownership records, crime datasets, demographics, infrastructure, business activity, and regulatory filings
• Performing entity matching and deduplication across inconsistent government and commercial datasets
• Creating enrichment logic that turns raw records into usable market intelligence
• Building MCP servers that expose structured data to LLMs, AI agents, internal dashboards, and automation workflows
• Building APIs that allow internal systems to query geospatial, business, parcel, and market intelligence data
• Creating AI-agent workflows that can search, reason over, and act on the data we collect
• Building monitoring, alerting, and self-healing systems so pipelines stay fresh
• Documenting what was built, why it was built that way, and how it can be maintained or extended

We do not want someone who simply downloads a CSV and calls it done.

We need someone who can help build systems that answer questions like:
• Where is development activity accelerating?
• Which areas are showing signs of commercial growth?
• How do permits, crime, property ownership, demographics, zoning, and business activity relate to each other?
• Which parcels, corridors, or trade areas are becoming more valuable?
• Which neighborhoods are underserved, oversaturated, or shifting?
• What public signals suggest a location is becoming more attractive for a specific type of business?
• What patterns are emerging across property records, infrastructure, permits, and local activity?
• How can AI agents query this data and return useful business intelligence without a human manually digging through files?

AI AGENTS, LLMS & REQUIRED TOOLING

AI tooling is not optional for this role.

You must actively use modern AI development tools in your daily engineering workflow, especially Cursor AI, Claude Code, Claude, ChatGPT/OpenAI models, or equivalent LLM tools.

We are not hiring someone who only uses AI as a fancy search bar. We are hiring someone who knows how to use AI tools to move faster, debug better, design systems, document decisions, write cleaner code, and build agentic workflows that make our internal stack smarter.

You should be able to build or work with:
• AI agents and automation bots
• Tool-calling workflows
• MCP servers
• LLM-accessible APIs
• Structured prompts and agent instructions
• Data-query agents
• Research agents
• Scraping agents
• Monitoring agents
• Cursor AI and Claude Code development workflows
• Human-in-the-loop review systems where needed

You should understand how LLMs fit into real production systems, including the difference between prompting an LLM, giving an LLM access to tools, exposing structured data through MCP, using APIs, applying RAG or vector search where appropriate, and knowing when deterministic code should do the work instead of an AI model.

Before starting, you must have active access to:
• Cursor AI
• Claude Code
• Claude
• ChatGPT, OpenAI API, or equivalent LLM access

Paid subscriptions are expected. If you do not actively use these tools in your normal development workflow, this is not the right role.

As part of your application, include a 2–3 minute Loom video showing your real workflow using Cursor AI and/or Claude Code on an actual technical task. Screenshots will be ignored. We want to see how you think, inspect code, use AI tools, reason through problems, and move from vague requirement to working implementation.

WHAT THIS IS NOT

This is not basic scraping.
This is not email scraping.
This is not collecting random business names into a spreadsheet.
This is not a one-off automation script with no production system behind it.
This is not a role where we hand you a perfect source list and step-by-step instructions.
This is not a role for someone who waits for us to explain every source, every schema, every field, and every edge case.

This role requires someone who can build around the reality of public data:
• Sites change
• Data formats change
• Public portals break
• Downloads fail
• Schemas move
• APIs disappear
• Records are inconsistent
• Government data is messy

That is part of the job. We expect you to adapt, document the change, and keep the data flowing.

YOU MUST BE ABLE TO PROVE

You must show real experience with:
• Senior-level Python and/or Node development
• Scraping and automation at scale
• Playwright, BrowserUse, Crawlee, Apify-style architectures, or similar systems
• Difficult websites, dynamic portals, pagination, downloads, changing schemas, and unreliable public data sources
• Geospatial data in production
• PostGIS, Postgres, spatial joins, shapefiles, parcels, geocoding, or spatial analysis workflows
• Strong SQL and database design
• Supabase experience is a plus
• MCP server development or a clear technical understanding of how to build MCP servers quickly
• AI-agent development or tool-calling workflows
• LLM-powered automation, code workflows, or data-query systems
• Building systems that stay running, stay fresh, and recover when sources change

You should be comfortable with messy work.

You should be able to look at a government portal, parcel dataset, GIS download site, permitting system, PDF archive, public records portal, or map-based database and figure out how to extract usable data from it.

IDEAL EXPERIENCE

Strong candidates may have experience with:
• Public data pipelines
• GIS systems
• Government open data portals
• County appraisal district data
• Permit databases
• Crime datasets
• Census and demographic data
• Parcel and property ownership records
• Zoning and land-use data
• Environmental datasets
• Parking, traffic, infrastructure, or mobility data
• Market intelligence platforms
• Real estate analytics
• Location intelligence
• Retail site-selection analytics
• Urban planning data
• Economic development data
• AI-powered internal tools
• MCP servers
• Agentic data workflows

HOW WE WORK

We move fast.
We expect proactive communication.
You update us before we ask.
You flag blockers in hours, not days.
You fill logic gaps yourself.
You make the call, document it, and move on.

We do not want someone who disappears for a week and comes back saying:
"The website changed."

We expect you to notice the website changed, adapt the scraper, update the pipeline, document the change, and keep the data flowing.

We want builders, problem-solvers, and technical thinkers who can combine data engineering, geospatial thinking, AI tooling, and production discipline.

MUST READ TO APPLY:

Secure Browser Configuration: Guided installation of Tor and Brave on Windows, ensuring advanced privacy settings, shields, and security protocols are fully optimized for data sovereignty.

Privacy Best Practices: Provide a brief walkthrough on utilizing both browsers effectively to maintain operational privacy.

Troubleshooting: Address any immediate connectivity, DNS, or performance issues that arise post-installation.

Start your application with the word:
PERMIT

It must be the first word of your message. Anything else will be archived without being read.

In your application, include:
1. The Loom video described above — non-negotiable
2. Two real projects you have shipped involving scraping, geospatial data, public datasets, MCP work, AI agents, or data pipelines — with links
3. HOW HAVE YOU USED TOR BROWSER FOR SCRAPING?
4. A list of the AI tools you actively use, including Cursor AI and Claude Code
5. How long have you had experience with Tor Browser or Brave Browser?

We reply to applications that follow these instructions. We do not reply to ones that do not. If you do not know Tor Browser or Brave Browser and scraping with them, do not apply.

• Describe your recent experience with similar projects
• Please list any certifications related to this project
• What tools do you use for data mining and visualization?

Preliminary Civil Engineering Design — Solar Facility Equipment Pad

Stay Ready NOLA Inc. is developing a utility-scale solar generating facility at 12221 Old Gentilly Road, New Orleans, Louisiana. We need civil design drawings for Phase 1 construction of a permanent, load-bearing equipment pad that will support oil-filled power transformers, MV switchgear enclosures, protection relay cabinets, and a control shelter for the solar facility.

The scope is limited to site clearing and grubbing, topsoil stripping, subgrade establishment, and placement and compaction of the initial structural fill lift — minimum 12 inches of engineered granular fill (crushed limestone or approved equivalent) placed and compacted within the staked pad boundary, plus rough-grading of the access road. No concrete. Full pad build-out to BFE + 3.0 ft is Phase 2 work, after geotechnical findings are in hand.

This Phase 1 scope accomplishes two objectives:

1. Establishing "physical work of a significant nature" under IRS Notice 2013-29 (Physical Work Test) prior to the statutory beginning-of-construction deadline.

2. Providing an accessible, stable working platform for the subsurface geotechnical investigation — Standard Penetration Test (SPT) borings and associated laboratory testing (soil classification, consolidation, and shear strength) — from which the project's licensed Louisiana PE will develop the Phase 2 stamped design covering structural fill sequencing, subgrade improvement requirements (if indicated), compaction specifications, and equipment foundation design.

A Louisiana PE stamp is not required. The drawings will be handed to our local Louisiana PE who will review, modify as needed, take ownership of the design, and produce the stamped permit set. The local PE will also specify the geotechnical testing scope and use Phase 1 field data to produce the Phase 2 stamped drawings. The designated Louisiana PE is explicitly authorized to modify, supplement, or revise any portion of these drawings to produce the permitted design.

The pad is a heavy industrial electrical hardstand. Key design parameters:

• Pad dimensions: 175 ft × 175 ft (30,625 sq ft / 0.70 acres)
• Location: Z-4-D parcel (13.01 acres), centered at approximately the D/E column, row 4/5 intersection on the SRN 70-ft survey grid — approximately 280 ft north of Old Gentilly Road and 350 ft west of Paris Road
• Access road: 20-ft-wide graded access road from Old Gentilly Road to the pad edge (~200 ft length)
• Total disturbed area: approximately 0.85 acres (pad + access road + entry disturbance at Old Gentilly). Design to stay under 1.0 acre total.
• Heaviest single piece of equipment: approximately 25,000 lbs on an 8 ft × 6 ft base footprint (oil-filled power transformer)
• Subgrade bearing capacity target: minimum 2,000 psf at finished fill surface

Sheet List
C0 — Cover Sheet / Location Plan
• Aerial base with parcel boundary (Z-4-D), road frontages (Old Gentilly Rd, Paris Road)
• Site location map and vicinity map
• Legal description reference: SZS Consultants resubdivision survey, Job #14566
• General notes: zoning (GPD), applicable codes, FEMA flood zone (AE), datum (NAVD88), BFE reference, date of construction commencement: [to be completed at Notice to Proceed]

C1 — Existing Conditions Plan
• Property lines, Old Gentilly Rd ROW, Paris Road ROW, L&N Railroad ROW
• Two proposed 40-ft drainage servitudes (near Paris Road on Z-4-D east boundary per survey) and existing N/S canal ROW
• Wetland C boundary (SE corner, Z-4-D) with 50-ft no-fill buffer clearly delineated
• Paris Road N/S canal (jurisdictional RPW) — 75-ft setback from OHWM along Z-4-D east boundary
• FEMA floodplain boundary and BFE contour

C2 — Phase 1 Grading and Pad Layout Plan
• Limits of clearing, grubbing, and topsoil stripping
• Staked pad footprint: 175 ft × 175 ft roughly centered at D/E column, row 4/5 grid intersection so that ½ of the pad is in lot X-2-B and ½ of the pad is in lot Z-4-D.
• Access road alignment from Old Gentilly Rd to pad, including driveway culvert location
• Phase 1 construction limit: first compacted lift (minimum 12 in.) within staked pad boundary
• Proposed grade at top of first lift; note that subsequent lifts to BFE + 2.0 ft and riprap slope protection are per Phase 2 design pending geotechnical findings
• Silt fence perimeter, construction entrance location, and other standard erosion controls
• Total limits of disturbance labeled and area quantified (target ≤0.85 acres)
• CZO §20.3.DDD compliance note (czo.nola.gov/article-20): inverter/transformer locations ≥120-ft setback from any property boundary or public ROW; solar array ≥20-ft setback from all property lines. Disregard the boundary between X-2-B, Y-3-C, and Z-4-D when designing within these setbacks.

C3 — Typical Sections and Details
• Typical pad cross-section: native subgrade → topsoil stripping → Phase 1 first lift (permanent structural fill) → note for Phase 2 lifts to BFE + 2 ft → riprap slope protection (Phase 2)
• Access road typical section: subgrade → aggregate base → surface treatment
• Driveway culvert detail at Old Gentilly Rd connection
• Silt fence and stabilized construction entrance details (standard LDEQ)

Design Parameters
Floodplain / FEMA Zone AE
• Existing site elevation: approximately −3.2 to −5.5 ft NAVD88 per existing survey
• BFE: confirm from current FEMA FIRM panel (msc.fema.gov/portal/home); assumed approximately +2.5 ft NAVD88 for design purposes
• Phase 2 target finish grade: BFE + 2.0 ft freeboard ≈ +4.5 ft NAVD88
• Note on drawings: "Phase 2 to address compensatory storage per FEMA NFIP requirements"

Wetlands and Waters of the U.S.
• Wetland C (0.43 ac, jurisdictional per Army Corps review): SE corner of Z-4-D — show 50-ft no-fill buffer on all plan sheets
• Paris Road N/S canal (jurisdictional RPW): show 75-ft setback from OHWM along Z-4-D east boundary
• Two proposed 40-ft drainage servitudes on Z-4-D (east boundary area per survey): show as no-fill constraint zones

CZO §20.3.DDD
• Full text: czo.nola.gov — Article 20, §20.3.DDD
• Solar array area: 20-ft minimum setback from all property lines
• Inverters and sound-producing equipment: 120-ft minimum setback from any property boundary or public ROW
• 20-ft landscape yard along Old Gentilly Rd frontage per §23.6.A — note on C2

Erosion Controls / Stormwater
• Total site disturbance is designed to stay under 1.0 acre — LDEQ Construction General Permit (LAR100000 / LAR200000) threshold is 1 acre; if disturbance stays below 1.0 acre, no NOI or SWPPP is required
• Show standard BMP erosion controls on C2: silt fence perimeter, stabilized construction entrance, inlet protection as needed
• Federal standard: 40 CFR Part 450 (Effluent Limitations Guidelines, Construction & Development)

Deliverables
• AutoCAD DWG files (2018 or later, no xref dependencies)
• PDF exports, full-size (24" × 36" or 30" × 42")
• Design narrative (1–2 pages): Phase 1 scope, design assumptions, regulatory constraints, and what Phase 2 must address. Note on language: This project has federal tax credit implications tied to IRS beginning-of-construction rules. Avoid terms that characterize the work as preliminary or preparatory — specifically avoid: site preparation, site prep, pre-construction grading, preliminary earthwork, land clearing. Use instead: Phase 1 construction, initial foundation construction, permanent facility construction, placement of structural fill comprising the engineered foundation platform, commencement of construction of a significant nature. The distinction matters — the drawings and narrative may be reviewed by tax counsel and, in an audit scenario, by the IRS. The narrative should describe the engineered fill platform as a permanent structural component of the facility, not as preparatory or enabling work.".
• Assumptions list for the local PE: BFE value used, soil conditions assumed, parcel boundary source, grid coordinate basis
• All files delivered as a single ZIP upload on Upwork

Reference Documents
• SZS Consultants resubdivision survey (Job #14566), scale 1"=400', PDF and DWG — parcel boundaries, easements, servitudes, legal descriptions for Lot Z-4-D
• SRN 70-ft survey grid overlay (DWG/PNG) — column/row reference grid with labeled axes
• Post-Army Corps AJD wetland map — Wetland C (0.43 ac, jurisdictional) and upland determinations
• New Orleans CZO Zoning Confirmation (GPD zone, §20.3.DDD): https://czo.nola.gov/article-20/#20-3-DDD
• FEMA FIRMETTE SRN Community Solar Site — search by address at https://msc.fema.gov/portal/home
• Hydrik wetlands delineation .dwg



This is an hourly contract. In your proposal, please provide:

• A range of the estimated hours to complete the full scope. (We understand that this is just an estimate.)
• Number of days from Upwork contract execution to final delivery


This is not a job for a generalist. The drawings will be reviewed by a licensed Louisiana PE. Invest the time to read and understand this scope before proposing. Please do not submit a canned AI-generated response.

Note: Stamped Drawings are not a requirement of this job, however, applicants with a PE stamp will be will be viewed more favorably. Applicants who have the ability to stamp drawings as a Louisiana Registered Civil Engineer (PE) will be viewed most favorably of all.

We are a geospatial and geophysical surveying company specializing in airborne data

acquisition and exploration services, including magnetics, electromagnetics,
radiometrics, LiDAR, photogrammetry, and hyperspectral surveys.

We are seeking a highly detail-oriented Proposal Writing Specialist to lead the creation of
technical proposals for these survey types, either individually or as integrated, multi-
sensor programs.

This role sits at the intersection of:

●GIS / spatial analysis (QGIS)​
●Survey planning (flight lines, logistics, terrain considerations)​
●Technical writing​
●Structured Excel → Word automation workflows​

You will take project inputs (client requests, shapefiles, exploration targets) and transform them into clear, accurate, and visually compelling proposals that communicate both technical
survey design and exploration value.

Key Responsibilities

1. Proposal Development (Core Role)

-Write and assemble technical proposals for:​

-Geophysical Surveys (Magnetic/ Electromagnetic (EM) / Radiometric)​

-Geospatial Surveys (LiDAR & photogrammetry/ Hyperspectra)​

-Integrated multi-sensor programs (e.g., Mag + EM, Mag + Radiometrics, LiDAR +
Mag, etc.)​

-Tailor proposals to different project types:​

-Local, flat terrain​

-Remote or mountainous environments​

2. GIS & Survey Design Support

●Use QGIS to:​

-Prepare and validate spatial data (CRS, shapefiles, boundaries)​

-Generate flight lines and survey layouts​

-Ensure full spatial coverage and clean outputs​

-Determine appropriate flight line direction (based on geology where applicable)

■This sometimes requires the use of georeferencing skills (ex- freehand georeferencing plugin)​

3. Google Earth & Logistics Planning

-Evaluate survey areas using Google Earth​
-Terrain and accessibility​
-Road vs helicopter access​
-Take-off / landing locations​
-Identify logistical constraints and reflect them in proposals

4. Map & Figure Creation

-Produce high-quality proposal figures:​
-Survey area maps​
-Flight line maps​
-Zoomed visuals for clarity​
-Ensure maps are clean, consistent, and client-ready​

5. Excel + Word Proposal Workflow

-Populate structured Excel templates with:​
-Survey parameters​
-Client information​
-Run macros to generate proposal drafts​
-Edit and refine Word documents:​
-Formatting​
-Figures and tables​
-Consistency across sections​

6. QA/QC & Final Review

-Perform detailed quality control:​
-Check all numbers, units, and parameters​
-Ensure consistency between maps, tables, and text​
-Confirm proposal is polished and client-ready​
-Flag uncertainties or assumptions for internal review​

7. Workflow Improvement & Automation (Important)

-Help improve and evolve the current SOP and templates​
-Identify opportunities to:​
-Automate repetitive steps​
-Improve Excel/Word workflows​
-Integrate AI tools into proposal generation​
-Contribute to building a more scalable proposal pipeline

Required Skills

-Technical
-Strong experience with QGIS​
-Generating Shapefiles, updating projections, map creation, using plugins​
-Proficiency in Google Earth (desktop)​
-Advanced Microsoft Excel​
-Comfortable with structured templates and macros​
-Strong Microsoft Word​
-Formatting technical reports and proposals​

Core Competencies

-Exceptional attention to detail (critical for this role)​
-Ability to understand and communicate survey concepts clearly​
-Strong organizational and workflow discipline​
-Good communication skills for internal coordination​

Nice-to-Have (Strongly Preferred)
●Technical sales experience
●Familiarity with:​
●Geophysics, geology, or remote sensing​
​●Python or scripting experience​
●Experience using AI tools to automate workflows​
●Experience building repeatable technical reporting systems​

Ideal Candidate

You are someone who:​

●Enjoys combining technical GIS work with polished writing​
●Takes pride in producing clean, professional deliverables​
●Thinks in terms of systems, workflows, and efficiency​
●Can move between technical detail and big-picture communication​

Project Scope
●Ongoing work (multiple proposals per week)​
●Long-term opportunity​
●Potential to evolve into a proposal system / automation lead

Hey — I'm Iosif, founder of SKOpi Global Holdings. We're developing a 16-lot residential subdivision on Tract D of Summerhaven Phase 3 in Redmond, Oregon. A Bonneville Power Administration (BPA) high-voltage transmission line corridor crosses the property under a recorded 1965 easement, so before we go to county subdivision review, we need to file a Use of Right-of-Way Application with BPA.
I've already drawn up a concept site plan of the 16-lot layout. What I need is someone to take that concept and turn it into a clean, professional, BPA-ready site plan package — the kind of file where the BPA realty specialist opens it and every question they were going to ask is already answered.
This is the first project in a multi-parcel pipeline I'm building in central Oregon. If we work well together, there's a lot more coming.

THE PROPERTY

Address: Tract D, Summerhaven Phase 3, SW Reindeer Avenue, Redmond, OR
Deschutes County Taxlot: 151319AC00139
DIAL Property ID: 287611
DIAL link: http://dial.deschutes.org/Real/Index/287611
Owner of record: Knox Investments LLC (transferring to The Sko Pine Group LLC at closing 7/06/2026)
Recorded encumbrance: 1965 BPA transmission line easement (recorded with Deschutes County Clerk; I'll send the doc on kickoff)
Recorded plat: Summerhaven Phase 3 final plat is on file with the Deschutes County Surveyor's Office

Pull the DIAL link and you can see the parcel for yourself.

WHAT'S ATTACHED
Three documents are attached so you have everything you need to think through the job:

My concept site plan — the 16-lot layout I drew up. Use this as your starting point.
BPA Application for Proposed Use of BPA Right-of-Way — the federal form your work needs to fully populate.
BPA Landowner's Guide for Compatible Use of BPA Rights-of-Way — BPA's rules for what's allowed in the corridor.

Take a look at all three before you bid so you can give me a real number. If you spot a conflict between my concept and BPA's rules, mention it in your application — I'd rather know now than later.

WHAT YOU'LL PRODUCE
A site plan package that gives BPA everything it needs:

Scaled site plan (PDF + native CAD/DWG) showing:

Property boundary per the recorded plat
The full BPA right-of-way crossing the property, with width and bearings
Existing BPA structures on or near the parcel, with distances and angles to proposed lot lines
All 16 proposed lots with lot lines, numbers, approximate dimensions
Proposed roads, driveways, utilities, drainage
Setbacks from the BPA easement clearly called out
North arrow, scale bar, legend, title block


Legal description pulled from the recorded plat
Narrative of intended use I can drop straight into BPA's narrative field — including construction equipment that'll operate near the lines (graders, excavators, cranes, irrigation, etc.) and the max reach height of each
Preliminary grading plan showing cuts/fills near the easement (BPA cares about grading specifically)
Clearance note confirming nothing encroaches into the BPA right-of-way and that grading respects BPA's clearance requirements
Equipment list & construction approach narrative (1–2 pages)

Note: I'm not asking for a stamped boundary survey. That's a separate Phase 2 engagement I'll hire a licensed Oregon PLS for later. Just base your boundary on the recorded plat — no monument-setting needed.

WHAT I'LL HAND YOU ON KICKOFF

My concept site plan (use as the starting design — professionalize it, don't redesign it; if something doesn't work, tell me and we'll figure it out together)
The 1965 BPA easement PDF
The recorded Summerhaven Phase 3 plat
Any county GIS layers I have on hand
Direct line to me on Telegram or email — I respond fast


WHY THIS GIG IS WORTH WINNING

This is project 1 of a real pipeline. Do good work and you're my guy for the next ones.
Clear scope, fast feedback, prompt milestone payment.
You talk to me directly. No committee, no telephone game, no endless rework.


TO APPLY
Just give me:

A couple of examples of past subdivision or site plan work. If you've done utility right-of-way crossings (BPA, PG&E, PacifiCorp, anything 230kV/500kV) that's a bonus and moves you up the list — but it's not required. Solid subdivision work is what I'm really looking for.
Your bid and how many calendar days you'll need.
Yes/no — would you handle filing the BPA application on our behalf as part of the bid? Same price either way is fine, just want to know.
What software you'll deliver in (AutoCAD, Civil 3D, whatever).

Self-taught and built your skills on your own? I'm one of those people too. Show me your work — that's what I care about.

SKOpi Global Holdings, Inc. is a Delaware corporation operating out of Redmond, Oregon. The Reindeer Project is our first horizontal land development.

Upwork settings:

Title: Civil Site Plan for BPA (Bonneville Power) Right-of-Way Application — 16-Lot Subdivision, Redmond OR
Category: Engineering & Architecture → Civil Engineering / CAD Drafting
Type: Fixed-price
Budget: $1,500–$4,000
Timeline: 10–14 days
Skill tags: Civil Engineering, AutoCAD, Civil 3D, Site Planning, Land Development, CAD Drafting, Subdivision Design, Right-of-Way

Attachments:

Your concept site plan (PDF)
BPA Application form: https://www.reginfo.gov/public/do/DownloadDocument?objectID=118622601
BPA Landowner's Guide: https://www.bpa.gov/-/media/Aep/lands/lusi-Landowners-Guide-to-Compatible-Use-of-BPA-Rights-of-Way.pdf

Hi, we are looking for someone who is expert in Arc GIS to help us with some internal training for 2 or 3 members of our team, online training is fine, and we would record the session for future reference back.
We do a limited number of things in ArcGIS which creates the mapping for LVIAs as follows:
- we create Site Context Plans of the project site we are looking at and a defined radius for residential developments, from 10 to 4,000 homes. We include datasets of designations, from government and local council websites.
- we create topography plans for the same study area as above
- we create landscape character plans which uses downloadable datasets and sometimes we have to draw the data if it is not available for the same study area as above
- we create ZTVs and viewpoint location plans, using GPS points we have taken on site.

So its training for creating the mapping, creating the sheets, downloading and importing the data, importing OS mapping, Its not complicated stuff, and some of it is already templated. but it is about helping the team to be confident with using GIS and giving them a good grounding into GIS. So I think perhaps training split into a couple of hours each session, over a course of sessions is probably the best way to train.

We need good communicators who are experienced at training and explaining basics through to more complex ideas.

I have included an example of mapping to give you a feel for what we produce for projects.

We're operating multiple data-intensive products in a single industry vertical. Each product generates, ingests, or analyzes large volumes of operational, transactional, and geospatial data, and the products talk to each other — calculations and signals from one feed into another. We need a senior Python data engineer who can own the math and the machinery: the calculations, the queries, the pipelines, and the analytical layer that turns raw data into the metrics and signals our products are built on.

This is not a "build a Jupyter notebook and email a chart" role. This is production data engineering with real analytical depth, running in containers, behind a real API, against real customer data.

The specific work:

One of our products is a real-time operational intelligence platform that ingests transactional and operational data from third-party point-of-sale and operational APIs. Ingestion runs through a Laravel (PHP 8) queue worker layer that lands raw data in MySQL / MariaDB. From there, a Python FastAPI analytics service computes a battery of business KPIs that operators rely on daily — cost ratios, peak-window detection, exception forensics (voids, discounts, removed items), staff performance grading on multiple dimensions, customer segmentation models (recency-frequency-monetary and variants), inventory variance, velocity scoring, revenue forecasting, and dozens of others. These calculations need to be mathematically correct, performant on large datasets, defensible to operators who challenge the numbers, and instrumented enough that we can debug a single row's contribution to an aggregate.

A second product is a geospatial market intelligence platform that ingests public and semi-public datasets — government permits, regulatory filings, demographic data, parcel and property records, environmental layers, infrastructure inventory — and computes correlations and market signals across them. The frontend renders these layers with deck.gl; the backend is the same Python service. This work involves real geospatial analytics: spatial joins, distance-decay models, kernel density estimation, demographic enrichment of point data, and statistical correlation between location-based features and operational outcomes from the first product.

You will own the Python and SQL layer that powers both. You will be expected to upgrade existing calculations, add new ones, optimize the slow ones, and identify cases where current logic is wrong or under-specified.

Our actual stack — the work happens here:

Python 3.11+ / FastAPI — the analytics service is FastAPI behind Uvicorn, served in Docker. Pydantic for contracts, SQLAlchemy / PyMySQL / aiomysql for DB access. Endpoints are typed and consumed by Next.js / TypeScript frontends, so the contract has to be tight.

MySQL 8 / MariaDB — primary OLTP and analytics store. Everything is MySQL dialect — window functions, CTEs, JSON functions, generated columns, partitioning. We do not run Postgres or PostGIS; spatial work happens in Python (Shapely, GeoPandas) and in MySQL spatial types where appropriate. If your reflex is "drop it in Postgres," that's fine for prototypes but not how we ship.

Multi-tier caching — Redis L1 + a MySQL analytics_cache L2 table. Calculation results are keyed, versioned, and busted on schema or formula changes. You'll own the invalidation discipline.

Laravel queue workers (PHP 8) for ingestion — you don't need to write Laravel, but you need to be literate enough to read a toast:sync-orders style command, understand what it lands in MySQL, and design Python calculations around the actual table shapes ingestion produces. Cross-language collaboration is part of the job.

Docker / Docker Compose for local dev. GitHub Actions → GHCR → VPS for deployment. Code change → docker compose build api && docker compose up -d → cache flush → verify. You ship through the container, not through SSH-and-edit.

pandas, NumPy, Polars, SciPy, statsmodels, scikit-learn, Prophet / statsforecast — depending on the calculation. We've already had to rip out hardcoded forecast fallbacks and replace them with walk-forward-backtest MAPE; we want someone who has opinions about when Prophet is appropriate and when it isn't.

Structured logging, tests, type hints, pre-commit — the code is reviewed, typed, and tested. We have tests on the math; we expect new math to come with tests.

What you'll own:

Production Python calculation modules — clean, tested, type-hinted, profiled. Modules that are imported and run inside the FastAPI service in production, not scripts that live on someone's laptop. Our pattern is an orchestrator that fans out to per-tab service.py + calculations.py modules with a shared MySQL aggregate layer; you will extend and refactor this.

Complex SQL on MySQL/MariaDB — heavy use of window functions, CTEs, conditional aggregation, JSON column extraction, and query optimization. You should be able to read EXPLAIN and EXPLAIN ANALYZE output on MySQL and know what to do — covering indexes, derived-table materialization, key lookups vs. scans, where the optimizer is making the wrong choice.

Data pipelines and scheduled jobs — orchestrated extraction, transformation, and aggregation. Idempotent, observable, alerting on drift. We don't currently run Airflow/Dagster/Prefect; if you make a case for one, make the case — but the bar is "this earns its complexity."

Statistical and mathematical work — weighted scoring models, time-series decomposition, cohort analysis, correlation analysis between datasets, outlier detection, segmentation algorithms. You're not just moving data around — you're computing signal from it.

Geospatial analytics — Shapely, GeoPandas, spatial joins, geocoding, distance and density calculations, MySQL spatial functions where they fit. You don't have to be a GIS specialist, but you have to be comfortable with spatial operations and able to design them so the deck.gl frontend renders fast.

Defining metrics rigorously — when a stakeholder says "calculate X," you push back on the ambiguous parts before you write code. You document the formula, the edge cases, and the assumptions in the same commit as the implementation.

Performance — large datasets, real-time constraints, query optimization, caching strategies, materialized aggregates. You know when to drop pandas for Polars, when to push computation into MySQL, and when to precompute and cache.

Testing — unit tests on the math, integration tests on the queries, sanity checks on the production data. You don't ship a calculation without tests, and you do not ship a calculation that hardcodes a number "for now."

You must be able to prove:

Active daily use of Cursor AI and Claude Code. A 2–3 minute Loom video showing your real workflow on an actual data engineering or analytics task is required with your application. We want to see you debug a query, profile a function, or design a calculation in real time.

Senior-level Python — pandas, NumPy, Polars, SciPy, statsmodels or scikit-learn, SQLAlchemy / PyMySQL / aiomysql, Pydantic, FastAPI. Show us a production codebase you've contributed to, ideally one that's deployed.

Mastery of MySQL / MariaDB specifically — not "I know SQL, Postgres is similar." We need to see complex MySQL queries you've written: window functions, CTEs, JSON extraction, query plans you've optimized. If your only SQL experience is Postgres, tell us how you'll bridge that gap.

Real production data engineering — pipelines you've built and operated, not prototypes. Tell us the volume, the cadence, and what broke.

Statistical literacy — explain in your own words how you'd handle a non-stationary time series, correct for selection bias in a cohort analysis, validate a forecast with walk-forward backtesting, or test whether two datasets are meaningfully correlated. We will ask follow-up questions in the interview.

Geospatial experience — at minimum, you've done spatial joins in GeoPandas or with MySQL spatial types in production. Bonus if you've fed a deck.gl frontend before. If you're missing this, you need to demonstrate fluency with the rest of the stack so deeply that we trust you'll ramp.

Fluency working in Docker — building images, reading compose files, debugging "it works on my host but not in the container" problems, knowing that a NEXT_PUBLIC_* value is baked at build time and not a runtime variable.

Strong opinions about code quality — type hints, tests, linting, structured logging, observability. We don't ship undocumented black boxes.

Bonus, not required:

Laravel / PHP literacy — enough to read the ingestion side and propose schema changes intelligently

Time-series specific tooling (Prophet, statsforecast) experience with walk-forward backtesting (not just model.fit / model.predict)

Bayesian or causal inference exposure

dbt-mysql or sqlmesh for analytical transformations

deck.gl / MapLibre familiarity on the consuming side

Experience operating FastAPI services at scale — auth, rate limiting, response caching, async DB drivers

Vector databases or similarity search work

Redis caching patterns beyond simple key-value (sorted sets, streams, expiration strategies)

The mindset we're hiring for:

You think about correctness before performance, but you think about both. You read tickets and immediately spot the underspecified parts. You don't write code until you understand what's being asked and what the edge cases are. When the data doesn't match the spec, you investigate the data, not just the code. You document your math. You write down assumptions. You file a question if a metric definition is fuzzy rather than guess and ship.

You also ship. You don't get stuck in analysis paralysis. You can decide between three reasonable approaches and pick one, defend it, and move on.

How we work:

Fast cadence. Fast feedback. Fast rotation if it's not working.

You report progress proactively. We don't ask for status — you give it.

You raise data quality issues before they become production bugs.

You push back when a request doesn't make analytical sense, and you propose the right alternative.

You communicate in writing well. Calculations and analytical work especially require precise written explanation.

To apply, start your message with the word "VECTOR" as the first word. Anything else gets archived without being read.

In your application, include:

The Loom video described above — your real Cursor + Claude Code workflow on a Python data engineering or analytics task (non-negotiable)

A link to a production codebase you've contributed to that demonstrates your Python data engineering work — FastAPI and MySQL exposure preferred

One complex MySQL or MariaDB query you're proud of, pasted directly into the application, with a sentence explaining what it does and why it was hard. (If your example is Postgres, also tell us how you'd port it to MySQL and what changes.)

A short paragraph describing the most non-trivial calculation, metric, or model you've shipped to production — what it computes, why it's hard, and how you validated it

Your hourly rate and weekly availability

One sentence on a calculation or analytical approach you'd want to apply to a real-time operational data product if given the chance

We respond to applications that follow these instructions. We don't respond to ones that don't.

• Describe your recent experience with similar projects
• Please list any certifications related to this project
• What tools do you use for data mining and visualization?

I need someone to create a custom player model for CS2 from a reference image and description, and then rig it to work properly in CS2. The ideal candidate should have experience in 3D modeling and rigging, specifically for CS2. Attention to detail and the ability to follow instructions accurately are essential.

Project Patriot is a 3 sq mile data center project that is being pursued by the City of Granbury.
Our organization is concerned that the city council has not considered that this proposed mammoth sized project will be located on high and rising ground that will be visible for miles. Current zoning only requires visual screening at the perimeter, but the ground will rise 100 feet past the perimeter which will make the screening of little value.
Your services could help the city council understand the visual impact to this historic community.
We are looking to provide static ground level views from a variety of locations such as the 1) Granbury High School where our 4th of July parade starts, 2) Lake Granbury Medical Center patient windows, 3) Reunion Fair Grounds from the rodeo stands, 4) and any other locations that you deem significant.

We are seeking a skilled freelancer to transform engineered drawings into a marketing-friendly map for a development project. The ideal candidate will have experience in map creation and graphic design, ensuring the final product is visually appealing and suitable for marketing purposes. Attention to detail and the ability to interpret technical drawings are essential.

Hi — I need a quick CAD base file for a large existing building.

Project: 51 S Walnut St, Plainfield, CT (approx. 350,000 SF mill)

Scope:
- Import GIS building footprint + parcel
- Clean into a scaled DWG
- Basic outline only that will include interior layout
- Optional: simple 3D massing using estimated height

I do NOT need full architectural plans although that is the following step — just a clean base file for planning.

Please quote fixed price and turnaround time.

Seeking a skilled freelancer to design a program map for a festival with 7 stages over 3 days with 4 Categories. The map should be visually appealing and following our CI, easy to navigate, highlighting stage and event schedules. The ideal candidate will have experience in graphic design and event planning, ensuring the map is both informative and engaging for festival attendees.

I need someone to prepare a LULC map for the NCT of Delhi with 5 classes: Waterbodies, Forest, Agricultural, Built-up, and Barrenland for 2000, 2005, 2010, 2015, 2020 and 2025 for monsoon and non-monsoon of each year. The ideal candidate should have experience in Google Earth Engine and mapping, and be able to deliver high-quality work within the specified timeframe.

We are looking for a designer to help convert internal storage facility maps into clean, customer-friendly signage that helps tenants easily navigate our facilities.

This is not a one-time project — we have dozens of facilities, and this first project will be used as a template for ongoing work.

Scope of Work

You will take an internal map (PDF, image, or low-resolution file) and recreate it into a clear, visually intuitive map for customer use.

The final output should:

Be easy to read and navigate
Clearly display unit numbers
Include key callouts, such as:
Office
Bathroom
Elevator (if applicable)
Parking areas
Street name
Include a “You Are Here” marker
Include a north direction indicator
Follow a consistent branding style (Trojan Storage)
Design Requirements
Clean, minimal, and highly legible layout
Consistent styling across all facilities (this will become a standard template)
Ignore internal-use elements (e.g., occupancy color coding)
Prioritize clarity over detail
File Inputs

You may receive:

Low-resolution PDFs or images
Construction maps or unit mix layouts
Google Maps reference images for orientation

Important: Not all files will be clean or vector-based. Part of the role is recreating maps from imperfect inputs.

Deliverables
Number of Maps needed are based on number of floors and Buildings
Final print-ready PDF
Sized: 36” x 24” (landscape)
Vector-based file preferred (Illustrator or similar) for future edits
Nice to Have
Experience with:
Wayfinding / signage design
Map or floorplan design
Illustrator or CAD-based cleanup
Additional Notes
This first project will act as a pilot
If successful, this will turn into ongoing work across many locations
We will provide:
Example of a completed map (gold standard)
Branding assets (logo, fonts)
Notes on layout and expectations
Timeline
First map: within 1-2 weeks
Future maps: faster turnaround once template is established

**Job Title: Experienced Data Mining / Property Research Specialist (Real Estate)**

We are looking for an **experienced, detail-oriented, and highly efficient Data Mining / Property Research Specialist** for ongoing part-time work in our real estate business.

This is **NOT** a basic data entry position. We need someone who knows how to **research, verify, match, and correct data** from multiple public sources quickly and accurately.

You will be responsible for finding and verifying **property owner information**, identifying **LLC owners**, correcting inaccurate records, and organizing clean data for lead generation and acquisitions.

**Pay:** **$200/month**
**Position Type:** Ongoing / Part-Time

### What You’ll Be Doing:

* Pull and verify owner/property data from websites such as:

* **OpenCorporates.com**
* **TruePeopleSearch.com**
* County / city **Tax Appraisal District** websites
* **Central Appraisal District (CAD)** websites
* Secretary of State / LLC entity search websites
* GIS / parcel map websites
* Permit / code violation databases
* Find the **real owner** behind LLCs and corporations
* Match records across multiple websites/databases
* Correct inaccurate owner names, mailing addresses, and entity information
* Organize and clean data in **Excel** / **Google Sheets**
* Input accurate data into spreadsheets, CRMs, or databases
* Follow detailed instructions and complete tasks quickly with minimal mistakes

### Requirements:

* Must have experience in:

* **Data mining**
* **Property research**
* **LLC / corporate owner lookups**
* **Real estate lead generation**
* Strong skills with:

* **Excel / Google Sheets**
* Sorting/filtering
* Basic formulas
* Organizing large data sets
* Strong internet research skills
* High attention to detail
* Ability to work independently and solve problems
* Reliable internet and computer

### IMPORTANT — To Filter Serious Applicants:

To apply, please answer ALL of the following:

1. Have you used **OpenCorporates**, **TruePeopleSearch**, or county appraisal district websites before? Explain.
2. Have you ever found the owner behind an LLC? Briefly explain your process.
3. Rate your Excel / Google Sheets skills from **1–10**.
4. How many records per day can you accurately complete?
5. Are you comfortable working for **$200/month** for ongoing part-time work?
6. Type the word **“ACCURATE”** at the top of your application so I know you read everything.

Applications that do not answer all questions will be ignored.

We are looking for someone **fast, accurate, dependable, and experienced** for long-term work.