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Remote Sensing Engineer Jobs in California (NOW HIRING)

GIS/Geospatial Expert

San Jose, CA · Remote

$80 - $100/hr

Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . * Direct hands-on experience using AI coding agents, particularly ...

GIS/Geospatial Expert

Palo Alto, CA · Remote

$80 - $100/hr

Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . * Direct hands-on experience using AI coding agents, particularly ...

Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . * Direct hands-on experience using AI coding agents, particularly ...

Staff Optical Engineer

Mountain View, CA · On-site +1

$166K - $223K/yr

About the role Muon seeks a Staff Optical Engineer to act as a technical lead on our team in Mountain View, CA or Remote, developing infrared remote sensing instruments. The ideal candidate is a self ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Engineering of distribution electrical projects through the entire project lifecycle: from ... Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing ...

Engineering of distribution electrical projects through the entire project lifecycle: from ... Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Automate data ingest and feature engineering from our growing sensor network (satellite, buoy ... Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence

Showing results 21-40

Remote Sensing Engineer information

See California salary details

$58.7K

$89.3K

$151.5K

How much do remote sensing engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote sensing engineer in California is $89,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $103,600.00 per year, depending on experience, location, and employer.

What cities in California are hiring for Remote Sensing Engineer jobs?

Cities in California with the most Remote Sensing Engineer job openings:

Infographic showing various Remote Sensing Engineer job openings in California as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $89,326 per year, or $42.9 per hour.

GIS/Geospatial Expert

YO AI Labs

San Jose, CA • Remote

$80 - $100/hr

Full-time

Posted 12 days ago


Job description

Job Title: GIS & Geospatial AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments.

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.

No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions.

Scope of Work
  • Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics.
  • Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.
  • Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools.
  • Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes.
  • Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes.
  • Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them.
  • Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate.
  • Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials.
  • Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment.
Required Skills
  • GIS / Geospatial Analysis
  • Remote Sensing
  • Spatial Analytics
  • Python
  • AI Coding Agents
  • Technical Documentation
  • Problem-Solving
  • Analytical Thinking
  • Written and Verbal Communication
  • Stakeholder Collaboration
Preferred Qualifications
  • Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline.
  • Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science, to solve technical problems.
  • Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects.
  • Ability to document complex technical workflows clearly for both technical and non-technical audiences.
  • Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes.
  • Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance.
  • Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms.
  • Current or recent professional engagement in a technical STEM or geospatial role.
  • Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement.
  • Ability to work independently in a remote environment while collaborating effectively with project stakeholders.