
Environmental Analyst - Remote Part-Time
Listing checked October 23, 2026 · pay as published by Handshake AI
Key details
- Pay
- Up to $85/hr
- Location
- RemoteUnited States
- Job type
- Part-Time
- Posted
- April 25, 2026
Overview
Handshake AI invites energy professionals into a fellowship that supports AI research through part-time, per-hour contract work. You review AI-generated answers and build training material tied to environmental assessment, GIS analysis, and renewable energy siting. Daily tools such as ArcGIS, Oracle MDM, and Aurora Solar inform how you judge accuracy, relevance, and geospatial data practices. The schedule stays remote and async, with no minimum hours, and most contributors put in 5 to 20 hours during an active project. This sits alongside other work because the engagement is project-based rather than a permanent role.
What You'll Do6
- Review AI-generated responses for accuracy and relevance across environmental analysis, GIS, and renewable energy siting tasks.
- Create expert training data from your professional knowledge of environmental workflows and geospatial data practices.
- Use ArcGIS, Oracle MDM, or Aurora Solar to check how model outputs handle real industry scenarios.
- Write detailed feedback for AI research teams, pointing out errors, gaps, and missing context.
- Work through project instructions on your own schedule, with no minimum hour requirement.
- Evaluate content tied to solar design, interconnection, or environmental assessment when those topics appear.
Requirements6
- At least 2 years of professional experience in environmental analysis, GIS, or renewable energy siting.
- Background in roles such as Environmental Analyst, GIS Analyst, Interconnection Specialist, Solar Design Engineer, or a comparable energy industry position.
- Hands-on use of one or more tools: ArcGIS, Oracle MDM, or Aurora Solar.
- Strong writing skills with a close eye for detail.
- Ability to work on your own and coordinate with AI research teams through async channels.
- No prior AI experience needed.
Who Should Apply
The strongest candidate brings at least two years in environmental analysis, GIS, or renewable energy siting and can point to hands-on work with ArcGIS, Oracle MDM, or Aurora Solar. You should enjoy writing precise feedback, catching small errors, and turning your daily energy workflows into clear reference material. This role fits someone who wants flexible project work, not a fixed full-time schedule or a permanent staff seat. Candidates often score low when they list environmental experience without naming the tools, datasets, or tasks they handled, or when their writing lacks the detail needed for model review. A lack of recent energy industry practice also weakens a fit, since the project depends on current domain knowledge.
Salary Insight
Pay goes up to $85 per hour, and Handshake AI ties final offers to project scope and your background. For project-based AI training in energy and GIS, that top rate sits at the high end and tends to match experts with several years of hands-on tool experience. Because the role has no minimum hours, your total earnings depend on the active project and how much time you choose to contribute.
Pay and demand for AI Training roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
Up to $85/hr
Taken from the listing itself.
Typical pay · estimated
$68/hour
Median of 1,169 similar roles that publish pay · 299 publish only a top rate; those count at the rate they gave
Most AI Training roles pay $38–$95 per hour. This role's pay falls inside that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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- Listed in last 30 days
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Hiring most right now: micro1 (331) · SME Careers (253) · Mercor (201)
Most requested skills · share of roles
- ai evaluation15%
- llm evaluation13%
- data annotation13%
- ai training13%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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