
Renewable Energy Markets Analyst
Listing checked October 19, 2026 · pay as published by Handshake AI
Key details
- Pay
- $80/hr
- Location
- RemoteUnited States
- Job type
- Part-Time
- Posted
- May 1, 2026
Overview
Handshake AI hires renewable energy and environmental markets professionals for part-time contract work that supports AI research. You will produce expert outputs such as renewable generation performance reports, forecast models, and REC verification records. The work runs as an ongoing fellowship with no fixed schedule or minimum hours, so you can fit tasks around your current role. Tasks rely on tools like WREGIS and AVEVA PI, and your completed work becomes part of AI training data for energy industry applications.
What You'll Do6
- Produce renewable generation performance reports that match professional standards, without direct supervision.
- Build and document forecast models for renewable assets using your own established methods.
- Create REC verification and retirement documentation that meets industry expectations.
- Complete analytical tasks in WREGIS and AVEVA PI as you would in a normal workday.
- Deliver expert-level outputs that become training material for AI systems in the energy sector.
- Manage your own schedule and submit tasks at your own pace, with no minimum hour requirement.
Requirements7
- At least two years of professional experience in renewable generation, forecasting, or environmental markets.
- Background in a role such as renewable generation performance analyst, renewable asset forecasting analyst, or REC / environmental markets analyst.
- Bachelor's degree or higher.
- Hands-on ability to produce work on your own in WREGIS and AVEVA PI.
- Direct experience with renewable generation forecasting and performance reporting workflows.
- Direct experience with REC verification and retirement processes.
- Strong written communication, close attention to detail, and comfort with remote async work.
Who Should Apply
Professionals with at least two years in renewable generation analysis, forecasting, or environmental markets will find the strongest fit. You should already know how to run workflows in WREGIS and AVEVA PI and have produced forecast reports or REC verification documents on your own. The role suits someone who wants project-based work without a fixed schedule and can write clear, detailed analysis in a remote setting. This opportunity is less suitable for people new to renewable energy or those who need regular team direction. Candidates often score low when they list general energy experience without naming specific tools like WREGIS or AVEVA PI, or when they cannot show independent analytical output. Another common miss is applying without a bachelor's degree, which the source lists as required.
Salary Insight
This fellowship pays $80.00 per hour. For part-time, project-based AI training work in energy markets, that rate sits above many general data-labeling contracts and reflects the specialized WREGIS, AVEVA PI, and forecasting experience required. The listing does not state a minimum or maximum number of hours, so total earnings depend on tasks available and your pace.
Pay and demand for Energy & Power Generation roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
$80/hr
Taken from the listing itself.
Typical pay · estimated
$68/hour
Median of 1,168 similar roles that publish pay · 299 publish only a top rate; those count at the rate they gave
Most Energy & Power Generation roles pay $38–$92 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.
- Live similar roles
- 1,294
- Listed in last 30 days
- 658
- Remote
- 98%
Hiring most right now: micro1 (335) · SME Careers (253) · Mercor (203)
Most requested skills · share of roles
- ai evaluation15%
- data annotation13%
- ai training12%
- llm evaluation12%
Figures from Energy & Power Generation roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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