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REC Trader - Renewable Energy AI Fellowship

Up to 85/hr
Remote
Part-Time
Posted April 25, 2026
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Listing checked October 22, 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 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

  • Assess AI responses about renewable energy workflows, REC markets, and portfolio compliance for factual accuracy.
  • Write expert feedback that points out errors in market rules, calculations, or reporting logic.
  • Create reference examples from your regular work with AVEVA PI, WREGIS, or Power BI.
  • Rank or label model output based on relevance to real energy industry tasks.
  • Explain gaps between AI-generated content and standard renewable portfolio practices.
  • Support AI research teams with domain context during active project cycles.
  • Track your assigned tasks and submit evaluations within project timelines.
  • Apply your trading or analyst experience to improve how models handle energy data.

Requirements8

  • At least 2 years of professional experience in renewable energy generation, REC trading, or portfolio management.
  • Background in a role such as Renewable Generation Analyst, REC Trader, Renewable Portfolio Analyst, or a similar energy position.
  • Hands-on use of at least one tool: AVEVA PI, WREGIS, or Power BI.
  • Strong written communication skills and close attention to detail.
  • Ability to work on your own schedule with distributed AI research teams.
  • No prior AI experience required.
  • Comfort with project-based work and variable hours each week.
  • Commitment 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.

Pay and demand for AI Training roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

Up to $85/hr

Taken from the listing itself.

Typical pay · estimated

$65/hour

Median of 1,158 similar roles that publish pay · 299 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $38–$92 per hour. This role's pay falls inside that range.

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Most requested skills · share of roles

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Required skills

Renewable Energy GenerationRec TradingRenewable Portfolio ManagementAveva PiWregisPower BiEnergy TradingEnergy ComplianceRenewable GenerationPortfolio ManagementAI Training DataContent EvaluationEnergy WorkflowsData AnalysisEnergy MarketsAI Research

How applying works

  1. 1. Pre-screen on NearSkill

    A quick application on NearSkill checks your fit against this role.

  2. 2. Finish on the employer’s site

    We hand you to Handshake AI’s official application page to complete the form.

  3. 3. Wait for a response

    The employer’s hiring team reviews applications and gets back to you.

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