Environmental Analyst - Remote Part-Time
Listing checked September 18, 2026 · pay as published by Handshake AI
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
- 1Review AI-generated responses for accuracy and relevance across environmental analysis, GIS, and renewable energy siting tasks.
- 2Create expert training data from your professional knowledge of environmental workflows and geospatial data practices.
- 3Use ArcGIS, Oracle MDM, or Aurora Solar to check how model outputs handle real industry scenarios.
- 4Write detailed feedback for AI research teams, pointing out errors, gaps, and missing context.
- 5Work through project instructions on your own schedule, with no minimum hour requirement.
- 6Evaluate content tied to solar design, interconnection, or environmental assessment when those topics appear.
Requirements6
- 1At least 2 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 comparable energy industry position.
- 3Hands-on use of one or more tools: ArcGIS, Oracle MDM, or Aurora Solar.
- 4Strong writing skills with a close eye for detail.
- 5Ability to work on your own and coordinate with AI research teams through async channels.
- 6No 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 Environmental Science & Sustainability roles
AggregatedTypical pay
$90/hour
This role
up to $85/hr
Most Environmental Science & Sustainability roles pay $85–$100 per hour. This role's pay falls inside that range.
Based on 10 similar roles that publish pay · 6 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 12
- Listed in last 30 days
- 11
- Remote
- 100%
Hiring most right now: Handshake AI (5) · AfterQuery (2) · Neon (2)
Most requested skills · share of roles
- technical writing42%
- gis25%
- clean water act17%
- nepa17%
Figures from Environmental Science & Sustainability roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
Up to $85/hr
Required Skills
Application Tip
Lead with specific energy projects. Name the tools you used, such as ArcGIS, Oracle MDM, or Aurora Solar, and describe one task, the data you handled, and the result. Pair that with a short writing sample that shows how you catch errors or explain technical details. This gives reviewers clear proof that your domain experience matches active project needs.
See NearSkill jobs more often in your search
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
Only profiles that clear screening are passed on.
3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
Similar open positions
Explore active roles that match your skills and interests.
Handshake AI
VerifiedGIS Analyst - Remote Energy AI Fellowship
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.
Handshake AI
VerifiedEnergy Project Engineer - Remote Part-Time
Handshake AI hires energy industry professionals for project-based AI research. You use your work in energy project estimation, pre-construction, or solar design to build expert training data and review AI-generated answers. The project calls for hands-on knowledge of tools such as Bluebeam Revu, RSMeans, or Aurora Solar. Work happens remote with an asynchronous schedule, no minimum hours, and most contributors log 5 to 20 hours per week during active projects. No prior AI experience required.
Handshake AI
VerifiedSolar Design Engineer - Remote Part-Time
Handshake AI hires energy professionals to support AI research on a flexible hourly contract. You review AI-generated answers about solar design, pre-construction, and project estimation, then supply feedback that sharpens how models handle development workflows and cost data. The work draws on tools such as Aurora Solar, Bluebeam Revu, and RSMeans. You set a remote, async schedule with no minimum hours; most contributors log 5 to 20 hours each week during an active project. You do not need an AI background.
Handshake AI
VerifiedEnergy Project Estimator - Remote Part-Time
Handshake AI seeks energy industry professionals for project-based AI research work. You will use your background in energy project estimation, construction planning, or solar design to review AI-generated responses and build expert training data. The role centers on judging whether model output matches real-world cost estimation and project development practices. The schedule stays async and remote, and most contributors put in about 5 to 20 hours each week while a project is active. You do not need prior AI experience.
Handshake AI
VerifiedEnergy Professional - Remote AI Evaluation
Handshake AI hires energy specialists for project-based AI work, not a permanent role. You bring hands-on experience from oil and gas, power generation, utilities, renewables, or energy compliance and use it to judge AI-generated content. The job centers on reviewing model answers for accuracy and relevance, then explaining how real energy workflows operate in practice. No AI background is required. Work happens remote on an asynchronous schedule, with most contributors logging around 5 to 20 hours each week while a project is active.
Handshake AI
VerifiedPre-construction Manager - Energy AI (Remote)
Handshake AI seeks energy professionals to shape how AI models handle project development and cost estimation tasks. You will review AI-generated answers, flag mistakes, and create reference examples that reflect real pre-construction, solar design, and estimation work. Bluebeam Revu, RSMeans, and Aurora Solar are the tools you may bring into that review process. The engagement runs as a remote, part-time project with an asynchronous schedule and no minimum hour requirement. No background in AI is necessary, only hands-on energy industry experience.