Our team is engaging GIS/geospatial Experts to contribute their domain insights to a forward-thinking customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. We're seeking current STEM professionals with hands-on experience using advanced AI coding agents, particularly those who can demonstrate the application of these agents in technical, real-world geospatial work. Effective written and verbal communication is essential, as you’ll be capturing complex workflows and describing innovative problem-solving strategies.
Scope of Work
• Provide expert analysis, feedback, and practical examples related to GIS and geospatial data challenges for AI model development.
• Document advanced technical workflows and problem-solving approaches that utilize AI agents such as Codex, Claude Science, Claude Code, and Claude Cowork.
• Deliver detailed descriptions of tasks where AI coding agents have been used to generate sequences, not merely as chat interfaces, including project context, tool selection, and results.
• Evaluate and critique the performance of AI-generated solutions in addressing sophisticated geospatial scenarios like large codebase navigation, debugging, end-to-end feature development, and architectural changes.
• Share real-world cases where ambiguity or scale presented unique technical hurdles, and outline how AI agentics facilitated solutions.
• Collaborate asynchronously with project stakeholders to iteratively refine documentation and guidance materials.
• Contribute to the development of high-fidelity datasets and evaluations for AI training and benchmarking initiatives.
Preferred Qualifications
• Demonstrated expertise in GIS, remote sensing, spatial analytics, or related geospatial technologies.
• Direct, hands-on experience using AI coding agents (specifically Codex, Claude Science, Claude Code, Claude Cowork) to solve technical challenges within GIS or STEM projects.
• Clear, concise written and verbal communication skills, with the ability to articulate technical processes and reasoning for both technical and non-technical audiences.
• Track record of using AI coding agents for complex scenarios—such as navigating large codebases, debugging, designing end-to-end features, or addressing ambiguous project requirements.
• Experience generating and analyzing AI-driven code sequences, rather than using agents solely for conversational purposes.
• Background in STEM fields, preferably with ongoing professional engagement in technical geospatial work.
• Analytical mindset paired with a passion for sharing knowledge and improving technical systems through innovative approaches.
Skills mentioned
gisremote sensingspatial analyticsai coding agents (codex, claude science, claude code, claude cowork)pythontechnical documentationproblem-solvinganalytical thinkingwritten and verbal communicationstakeholder collaboration
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