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Remote Geospatial Jobs in Martinez, CA (NOW HIRING)

What You Bring: * 4+ years experience in relevant technical roles, preferably working with geospatial and/or remote sensing data * Bachelor's degree in a relevant field * Ability to meet tight ...

Technical Program Manager, GTM Ops

San Francisco, CA · On-site +1

$152K - $196K/yr

Experience with remote sensing, earth observation data, or geospatial systems. * Experience working with remote, worldwide teams. * A growth mindset and a desire to learn quickly. Application ...

Experience in Space based business models, specifically familiarity with and/or experience supporting geospatial, commercial space, and/or satellite remote sensing customers and products.

... geospatial analysis, or related retail growth disciplines. • Experience working with external ... from a remote office location Benefits This role is eligible for healthcare including medical ...

They work in many industries, including business, finance, science, medicine, and government To excel as a remote data analyst, professionals must possess a combination of technical skills, soft ...

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Remote Geospatial information

See Martinez, CA salary details

$22

$33

$54

How much do remote geospatial jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for remote geospatial in Martinez, CA is $33.96, according to ZipRecruiter salary data. Most workers in this role earn between $26.35 and $39.47 per hour, depending on experience, location, and employer.

What is a remote geospatial?

A Remote Geospatial job involves analyzing and interpreting geographic data using technologies like GIS, remote sensing, and GPS from a remote location. Professionals in this field work with maps, satellite imagery, and spatial data to support industries such as environmental science, urban planning, disaster management, and agriculture. These roles require proficiency in geospatial software and data analysis, as well as strong problem-solving skills. Remote positions allow professionals to collaborate with teams and clients globally while using cloud-based tools for data processing and visualization.

What does a remote geospatial do?

A typical day as a Remote Geospatial professional often involves processing and analyzing spatial data, creating maps and visualizations, and collaborating with team members through virtual meetings or project management platforms. You may work closely with clients or internal stakeholders to clarify project requirements and deliver geospatial insights that inform decision-making. Daily tasks can also include data cleaning, maintaining spatial databases, and producing reports or presentations. Since the role is remote, strong organizational skills and proactive communication are key to managing your workload and meeting project deadlines efficiently.

What are the key skills and qualifications needed to thrive in the remote geospatial position, and why are they important?

To excel as a Remote Geospatial professional, a strong background in geographic information systems (GIS), spatial data analysis, and cartography is typically required, often supported by a degree in geography, environmental science, or a related field. Familiarity with technical tools such as ArcGIS, QGIS, remote sensing software, and certifications like GISP enhance technical proficiency. Strong communication skills, self-motivation, and the ability to collaborate virtually are important soft skills for remote work environments. These capabilities are crucial for accurately analyzing spatial data, solving client problems, and efficiently contributing to distributed teams.

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

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

What cities near Martinez, CA are hiring for Remote Geospatial jobs?

Cities near Martinez, CA with the most Remote Geospatial job openings:

Infographic showing various Remote Geospatial job openings in Martinez, CA as of August 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $70,636 per year, or $34 per hour.

GIS/geospatial Expert - Remote

San Francisco, CA • Remote

$80 - $100/hr

Full-time

Posted 5 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.