REC Trader for AI Model Evaluation

REC Traders apply their practical experience in renewable energy generation, REC trading, and portfolio management to evaluate AI-generated content and create expert training material. This role uses your domain knowledge to check accuracy, relevance, and compliance of AI outputs related to renewable energy workflows.

• Review and evaluate AI-generated responses about REC trading, renewable generation, and portfolio management for technical accuracy and regulatory relevance.
• Create expert-level training data based on real-world workflows, systems, and compliance practices from your professional experience.
• Provide clear, detailed feedback that helps improve AI understanding of industry tools, terminology, and common operational scenarios.

• Minimum 2 years of professional experience in renewable energy generation, REC trading, or renewable portfolio management, in roles such as Renewable Generation Analyst, REC Trader, Renewable Portfolio Analyst, or equivalent.
• Hands-on experience with one or more of the following tools: AVEVA PI, WREGIS, Power BI.
• Strong written communication skills, high attention to detail, and comfort working independently in an asynchronous environment.
• No prior AI or machine learning experience required.

• Engagement type: hourly contract work, part time.
• Location: fully remote.
• Schedule: flexible, asynchronous hours with no minimum weekly commitment; contributors typically work approximately 5 to 20 hours per week when an active project is available.
• This is an ongoing, project-based arrangement that can be performed alongside other commitments.
• Placement on specific projects depends on current project needs; contributors may be considered for future projects as they become available.

Up to $85/hr (depending on the project)

• Ability to provide professional evidence of the required industry experience.
• Must be able to work remotely and communicate effectively in writing with a distributed AI research team.

• Create a contributor profile and submit your professional details.
• Complete identity verification as requested.
• Review available projects and complete any project-specific onboarding steps.
• Begin assigned tasks and receive hourly compensation for completed work.