GIS Analyst - Remote Energy AI Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI recruits energy industry professionals for project-based AI training work. You bring hands-on experience in GIS analysis, environmental assessment, or renewable energy siting and use it to judge AI-generated output, flag errors, and build reference material. Most contributors commit about 5 to 20 hours a week, set their own schedule, and work from anywhere. The role suits people who already know tools like ArcGIS, Oracle MDM, or Aurora Solar and want to apply that knowledge without leaving their current position.
What You'll Do8
- 1Review AI responses about environmental workflows and geospatial data practices, then mark where the output misses accuracy or relevance.
- 2Produce expert training examples that show how a GIS or environmental analyst would solve real tasks.
- 3Use ArcGIS, Oracle MDM, or Aurora Solar data and methods to ground your evaluations in actual industry practice.
- 4Compare AI-generated recommendations against professional standards for siting, interconnection, or environmental review.
- 5Write clear notes that explain each correction and help AI research teams understand your reasoning.
- 6Track completed evaluations and submit them through Handshake AI project tools.
- 7Adapt your review criteria to new project briefs as they arrive.
- 8Work with AI researchers on an asynchronous schedule and respond to feedback on your submissions.
Requirements7
- 1At least two years of professional experience in environmental analysis, GIS, or renewable energy siting.
- 2Background in roles such as environmental analyst, GIS analyst, interconnection specialist, solar design engineer, or a similar energy industry position.
- 3Hands-on work with at least one of these tools: ArcGIS, Oracle MDM, or Aurora Solar.
- 4Strong writing skills, including the ability to explain technical judgments in plain language.
- 5Careful attention to detail when checking data, maps, or siting recommendations.
- 6Comfort working on your own with a flexible, asynchronous schedule and AI research teams.
- 7No previous AI experience needed.
Who Should Apply
Candidates who thrive here have at least two years in environmental analysis, GIS, or renewable energy siting and can point to real projects with ArcGIS, Oracle MDM, or Aurora Solar. The work rewards people who can explain a technical decision in writing and spot small errors in maps, data, or site recommendations. If your background is academic only or you have never used GIS tools on live energy projects, the fit is weaker. Applicants often score low when they list tools without showing how they applied them, or when their writing samples stay vague about environmental and geospatial methods. The role also suits professionals who want flexible project work around a full-time job, not those seeking a permanent staff position with a set schedule.
Salary Insight
Pay reaches $85.00 per hour for this fellowship. That rate sits at the high end for part-time AI training projects that ask for specialized GIS or energy industry expertise, and it reflects the value of two or more years of professional experience. Hours vary by project, so total earnings depend on how many active tasks you take on.
Location
Compensation
Up to $85/hr
Required Skills
Application Tip
In your application, name the exact GIS or energy tool you use and describe one project where you applied it, for example an ArcGIS siting analysis or an Aurora Solar design. Quantify your two or more years of experience with dates, roles, and the type of environmental or renewable energy work you handled. Strong writing samples that show how you spot errors in data or maps will raise your fit score more than a general resume summary.
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Application & verification flow
1Instant rubric match
Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
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3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
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