Geospatial Reasoning Specialist (Senior) – AI Trainer

Are you an experienced geospatial professional eager to shape the future of AI? We’re developing a geospatial reasoning agent focused on Crisis Response—helping AI systems understand, assess, and predict real-world events where data is uncertain or incomplete. Your expertise will guide model development and evaluation, laying the foundation for future geospatial reasoning and forecasting applications. We’re looking for experts with deep experience in geospatial analysis, crisis response, or related domains such as damage assessment, agriculture, site selection, supply chain optimization, or forecasting. You’ll evaluate AI-generated outputs, identify analytical weaknesses, and design metrics and test cases that advance model understanding and predictive accuracy. On a typical day, you’ll review geospatial scenarios, validate model outputs, define and refine reasoning frameworks, and collaborate with our team to improve data-driven evaluations. Ideal candidates bring professional experience in geospatial analysis, GIS systems, or spatial modeling within industries such as crisis management, logistics, or environmental planning. Proficiency with geospatial tools and libraries (e.g., QGIS, ArcGIS, GDAL, PostGIS) is preferred. Strong reasoning, attention to detail, and the ability to communicate complex spatial relationships clearly are essential. Ready to apply your geospatial expertise to the frontier of AI? Apply today and help design intelligent systems capable of supporting real-time global decision-making. We offer a pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you’ll supply a secure computer and high-speed internet connection; company-sponsored benefits such as health insurance and PTO do not apply. Job title: Geospatial Reasoning Specialist – AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Senior Level