GIS/Geospatial Expert – Remote
Job Description
Company: YO IT Consulting
Location: US
GIS / Geospatial Expert
Job Type: Contractor
Location: Remote
Job Overview
We are seeking experienced GIS / Geospatial Experts with hands-on experience in GIS, remote sensing, spatial analytics, and AI coding agents. You will apply your technical expertise to evaluate and document real-world geospatial workflows and help improve next-generation AI systems.
No Prior AI Training Experience Is Required.
Key Responsibilities
– Provide expert analysis and feedback on GIS and geospatial challenges.
– Document technical workflows using Python and AI coding agents.
– Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical tasks.
– Evaluate AI-generated solutions for complex geospatial problems, debugging, and code development.
– Document problem-solving approaches, workflows, and technical outcomes.
– Contribute to datasets and evaluation frameworks for AI training and benchmarking.
– Collaborate with technical stakeholders to refine documentation and project requirements.
Required Qualifications
– Strong experience in GIS, remote sensing, spatial analytics, or related geospatial fields.
– Hands-on experience using AI coding agents for technical or geospatial projects.
– Proficiency in Python and geospatial technologies.
– Experience working with complex codebases, debugging, or end-to-end feature development.
– Strong analytical and problem-solving skills.
– Excellent written and verbal communication.
– Ability to clearly document technical workflows for technical and non-technical audiences.
– Experience collaborating with remote or multidisciplinary teams.
Preferred Qualifications
– Experience using Codex, Claude Code, Claude Cowork, or similar AI coding agents.
– STEM background with ongoing professional experience in geospatial work.
– Experience evaluating AI-generated code or technical solutions.
– Experience with large-scale geospatial datasets and complex spatial workflows.
Source: LinkedIn
