Renewable Energy Analyst

Overview

Handshake is looking for renewable energy and environmental markets professionals to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with renewable generation analysis, forecasting, and REC markets to evaluate AI-generated content and provide feedback that helps AI better understand renewable energy workflows and environmental markets practices.

This is an ongoing, project-based opportunity that can be done alongside research, teaching, postdoctoral work, or industry employment.

Details

• This project involves independently producing expert-level analytical work and data outputs using the tools and workflows from your professional practice. You will be asked to complete real work tasks — such as building price forecast models or developing PPA documentation — in a structured, project-based format.
• Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.
• Placement depends on current project needs, with opportunities to be considered for future projects as they become available.

Qualifications

• At least 2 years of professional experience in renewable energy generation, forecasting, or environmental markets, in roles such as:

  • Renewable Generation Performance Analyst

  • Renewable Asset Forecasting Analyst
  • REC / Environmental Markets Analyst
  • Or equivalent roles in the energy industry
• Ability to independently produce work using one or more of the following tools:

  • WREGIS

  • AVEVA PI
• Ability to independently complete workflows such as:

  • Renewable generation forecasting and performance reporting

  • Renewable Generation Forecast Production
  • Renewable Energy Certificate (REC) Verification and Retirement
• Bachelor's degree or higher required
• Strong written communication skills, attention to detail, and the ability to work independently and asynchronously.