Senior AI / Computer Vision Developer Needed for Aerial Pavement Takeoff Software

We are an established saas software company serving the pavement industry and are looking to develop an AI-powered aerial takeoff tool. The goal is simple: A user enters a commercial property address, the system retrieves aerial imagery, automatically identifies pavement-related areas and objects, calculates measurements, and allows the user to edit or confirm the results. ### Initial Phase For Phase 1, we want to focus primarily on: * Asphalt pavement square footage * Concrete square footage * Parking stalls * ADA stalls * Curbs * Islands * Sidewalks * Striping The system should display the property on an aerial map, create editable polygons or measurements, and return accurate real-world quantities. Eventually, these measurements will integrate directly into our existing pavement estimating software. ### What We Are Looking For We are specifically looking for someone with strong experience in: * Computer vision * Aerial or satellite imagery * Image segmentation * Object detection * GIS / geospatial mapping * Python * PyTorch or similar AI frameworks * OpenCV * GeoJSON / PostGIS * Mapbox, Nearmap, or similar imagery APIs Experience building measurement, mapping, construction takeoff, property intelligence, roofing, paving, landscaping, or similar geospatial applications would be especially valuable. ### First Milestone Our first goal is not to build the entire platform. We want to prove that the technology works. The first milestone would be: **Enter a commercial property address → retrieve aerial imagery → automatically identify the asphalt area → calculate square footage → display an editable boundary around the detected pavement.** If this works successfully, we would move into additional pavement features and integration with our existing software. ### When Applying Please send: 1. Examples of similar computer vision, aerial imagery, GIS, or mapping projects you have completed. 2. A brief description of how you would approach this project. 3. The technologies you would recommend. 4. Your estimated cost for an initial proof of concept. 5. Whether you personally will be doing the development or if this will be handled by a team. We are looking for someone who can help us determine the best technical approach, not simply someone who can write basic application code. This could become a significant long-term project for the right person or team.