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Geospatial Jobs in Fremont, CA (NOW HIRING)

YO AI Labs

GIS/Geospatial Expert

San Francisco, CA · Remote

$80 - $100/hr

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 ...

YO AI Labs

GIS/Geospatial Expert

Palo Alto, CA · Remote

$80 - $100/hr

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 ...

YO AI Labs

GIS/Geospatial Expert

San Jose, CA · Remote

$80 - $100/hr

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 ...

YO AI Labs

GIS/geospatial Expert - Remote

San Jose, CA · Remote

$80 - $100/hr

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 ...

YO AI Labs

GIS/geospatial Expert - Remote

Palo Alto, CA · Remote

$80 - $100/hr

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 ...

Zoox

Senior Software Engineer - Mapping Web

Foster City, CA · On-site

$201K - $275K/yr

The Mapping Web team builds the geospatial visualization tools that enable Zoox engineers to understand and reason about the robot's world. The team develops internal map visualization libraries that ...

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Geospatial information

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How much do geospatial jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for geospatial in Fremont, CA is $31.91, according to ZipRecruiter salary data. Most workers in this role earn between $24.71 and $37.12 per hour, depending on experience, location, and employer.

What are geospatial jobs?

Geospatial jobs involve working with geographic information systems (GIS), remote sensing, mapping, and spatial data analysis. These professionals collect, analyze, and interpret data related to the Earth’s surface to support decision-making in fields like urban planning, environmental science, transportation, and defense. Typical roles include GIS analysts, cartographers, remote sensing specialists, and geospatial data scientists. Geospatial professionals use specialized software to visualize and analyze data, helping organizations solve complex spatial problems.

What are geospatial jobs?

Geospatial jobs are those where you use GPS and GIS technology to gather information to understand spatial relations between objects and locations on Earth. Geospatial jobs include titles such as geospatial manager, project manager, GIS analyst, GIS specialist, geospatial analysis management specialist, GIS developer, geospatial engineer, and GIS coordinator. The responsibilities of these jobs vary. Your duties may be more project management and supervisory related, more focused on technical design and data analysis, or you may be required to provide technical support and maintenance for GIS and GPS technology.

What are the key skills and qualifications needed to thrive as a geospatial analyst, and why are they important?

To thrive as a Geospatial Analyst, you need a solid grounding in geography, data analysis, spatial reasoning, and typically a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing tools, and spatial databases is essential, and certifications like GISP can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights. These skills enable accurate mapping and analysis, which are critical for informed decision-making in sectors like urban planning, environmental management, and logistics.

What are some common challenges faced by geospatial professionals when integrating data from multiple sources?

Geospatial professionals often encounter challenges when integrating data from various sources, such as inconsistencies in data formats, varying levels of accuracy, and differences in coordinate reference systems. Ensuring data compatibility and maintaining data integrity can be time-consuming, especially when dealing with legacy datasets or unstructured data. Effective communication with stakeholders and strong problem-solving skills are essential for resolving these issues and delivering reliable geospatial analyses.

What is the difference between Geospatial vs GIS Technician?

AspectGeospatialGIS Technician
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, associate or bachelor’s in GIS or related fields
Work EnvironmentFieldwork, data collection, analysis, mapping projectsOffice-based, GIS software operation, data management
Industry UsageUsed across environmental, urban planning, defense, and transportation sectorsPrimarily in urban planning, government agencies, and environmental firms

Both Geospatial and GIS Technician roles involve working with geographic data, but Geospatial is broader, encompassing data collection, analysis, and interpretation across various platforms. GIS Technicians focus more on managing GIS software and data within office environments. Understanding these differences helps in choosing the right career path or job search focus.

Is geospatial a high demand job?

Geospatial jobs are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial data analysis across industries such as urban planning, environmental management, and defense. Employers seek professionals skilled in GIS software, data analysis, and spatial technology, leading to strong job growth prospects.
More about Geospatial jobs

What are popular job titles related to Geospatial jobs in Fremont, CA?

For Geospatial jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Geospatial jobs in Fremont, CA look for?

The top searched job categories for Geospatial jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Geospatial jobs?

Cities near Fremont, CA with the most Geospatial job openings:

Geospatial jobs near you
Infographic showing various Geospatial job openings in Fremont, CA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,366 per year, or $31.9 per hour.

GIS/Geospatial Expert

San Francisco, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 5 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.