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Handshake

Renewable Energy Analyst

About this role

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.

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