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Geospatial Scientist Jobs in Massachusetts (NOW HIRING)

GIS/Geospatial Expert

Boston, MA · Remote

$80 - $100/hr

GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking ... Science . No prior AI training experience is required. What matters most is your ability to apply ...

New

GIS/Geospatial Expert

Boston, MA · Remote

$80 - $100/hr

GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking ... Science . No prior AI training experience is required. What matters most is your ability to apply ...

New

Reporting to the Director, Geospatial Analytics & Data Science, the Senior Geospatial Analyst is responsible for supporting location strategy and business decision-making through geospatial analysis ...

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 ...

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 ...

... Computer Science, Software Engineering, or a related field, or equivalent experience. • ... distribute geospatial data for critical maritime industries. Founded in 2025, the company is ...

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Showing results 1-20

Geospatial Scientist information

See Massachusetts salary details

$11

$47

$85

How much do geospatial scientist jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for geospatial scientist in Massachusetts is $47.61, according to ZipRecruiter salary data. Most workers in this role earn between $31.20 and $61.63 per hour, depending on experience, location, and employer.

What does a geospatial scientist do?

A Geospatial Scientist analyzes spatial data to understand patterns and relationships related to geography, the environment, or human activity. They use tools like Geographic Information Systems (GIS), remote sensing, and mapping software to collect, interpret, and visualize data about the Earth's surface. Their work supports decision-making in fields such as urban planning, environmental management, disaster response, and natural resource management. Geospatial Scientists often collaborate with other experts to develop solutions for real-world problems using spatial analysis.

What are the key skills and qualifications needed to thrive as a geospatial scientist?

To thrive as a Geospatial Scientist, you need a strong background in geography, spatial analysis, and data interpretation, typically supported by a degree in geospatial science, geography, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), remote sensing tools, and spatial databases is essential, and certifications in GIS can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for translating complex data into actionable insights. These competencies are crucial for accurately analyzing spatial data, supporting decision-making, and delivering impactful geospatial solutions across various industries.

How does a geospatial scientist typically collaborate with other professionals on projects?

Geospatial Scientists frequently work as part of interdisciplinary teams, collaborating with environmental scientists, urban planners, engineers, and IT specialists. They often gather and analyze spatial data, then share their findings through maps, reports, and presentations to support decision-making. Effective communication and teamwork are essential, as Geospatial Scientists must tailor their technical insights to meet the needs of stakeholders with different backgrounds. This collaborative approach not only enriches project outcomes but also provides valuable opportunities to learn from other fields.

What cities in Massachusetts are hiring for Geospatial Scientist jobs?

Cities in Massachusetts with the most Geospatial Scientist job openings:

Infographic showing various Geospatial Scientist job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $99,032 per year, or $47.6 per hour.

GIS/Geospatial Expert

YO AI Labs

Boston, MA • Remote

$80 - $100/hr

Full-time

Posted 3 days ago

New


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.