Live opening · Posted 7 days ago

GIS/geospatial Expert - Remote

YO IT Consulting · New Zealand (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyYO IT Consulting
LocationNew Zealand (Remote)
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

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.

Work arrangement
No

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