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Gis Remote Sensing Data Scientist Jobs (NOW HIRING)

YO AI Labs

GIS/geospatial Expert - Remote

Austin, TX · Remote

$80 - $100/hr

... GIS, remote sensing, spatial analytics, and AI coding agents. You will apply your technical ... Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical ...

YO AI Labs

GIS/geospatial Expert - Remote

San Jose, CA · Remote

$80 - $100/hr

... GIS, remote sensing, spatial analytics, and AI coding agents. You will apply your technical ... Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical ...

Sun King

A Bachelor's or Master's degree in Geography, GIS, Remote Sensing, Data Science, Energy Planning, or a related field. * Experience applying GIS within the energy sector, including electrification ...

Sun King

A Bachelor's or Master's degree in Geography, GIS, Remote Sensing, Data Science, Energy Planning, or a related field. * Experience applying GIS within the energy sector, including electrification ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

Position Overview Riverside Research is seeking a full-time Remote Sensing Scientist in support of ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

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How much do gis remote sensing data scientist jobs pay per year?

As of Sep 15, 2026, the average yearly pay for gis remote sensing data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Gis Remote Sensing Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

GIS/geospatial Expert - Remote

Austin, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 25 days ago

Job description

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.