REC Trader - Renewable Energy AI Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI recruits energy professionals for project-based AI research. You apply your background in renewable generation, REC trading, or renewable portfolio management to review AI-generated answers and shape training data. The work runs on a flexible, async schedule with no minimum hours, and most contributors put in 5 to 20 hours each week during an active project. No prior AI experience is needed; the project values hands-on knowledge of tools like WREGIS, AVEVA PI, and Power BI. This fellowship suits specialists who want to pair their domain expertise with AI model improvement.
What You'll Do8
- 1Assess AI responses about renewable energy workflows, REC markets, and portfolio compliance for factual accuracy.
- 2Write expert feedback that points out errors in market rules, calculations, or reporting logic.
- 3Create reference examples from your regular work with AVEVA PI, WREGIS, or Power BI.
- 4Rank or label model output based on relevance to real energy industry tasks.
- 5Explain gaps between AI-generated content and standard renewable portfolio practices.
- 6Support AI research teams with domain context during active project cycles.
- 7Track your assigned tasks and submit evaluations within project timelines.
- 8Apply your trading or analyst experience to improve how models handle energy data.
Requirements8
- 1At least 2 years of professional experience in renewable energy generation, REC trading, or portfolio management.
- 2Background in a role such as Renewable Generation Analyst, REC Trader, Renewable Portfolio Analyst, or a similar energy position.
- 3Hands-on use of at least one tool: AVEVA PI, WREGIS, or Power BI.
- 4Strong written communication skills and close attention to detail.
- 5Ability to work on your own schedule with distributed AI research teams.
- 6No prior AI experience required.
- 7Comfort with project-based work and variable hours each week.
- 8Commitment to accuracy when reviewing technical energy content.
Who Should Apply
The ideal candidate brings 2 or more years in renewable generation, REC trading, or portfolio management and has used tools like AVEVA PI, WREGIS, or Power BI on the job. You write clear notes, catch small errors, and can evaluate technical energy content without hand-holding. This role fits professionals who want part-time, project-based work alongside a current job or consulting practice. Candidates with no direct energy industry experience, those who need a fixed full-time schedule, or people seeking a permanent staff position will find a weaker match. Applications often score low when they list energy knowledge in broad terms but fail to name specific tools, trades, or portfolio outcomes.
Salary Insight
Handshake AI lists pay up to $85.00 per hour for this fellowship. That ceiling reflects the niche energy expertise required, and contributors with direct REC trading or WREGIS experience can reach the top of the band. General AI annotation projects pay less for less specialized work.
Location
Compensation
Up to $85/hr
Required Skills
Application Tip
In your application, name the exact tools you use, such as AVEVA PI, WREGIS, or Power BI, and add one quantified result from REC trading or portfolio management. A concrete figure, like volume of certificates traded or size of a managed portfolio, helps reviewers match your profile to active projects.
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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
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.
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