The work
You will help improve AI systems by creating expert training data and reviewing AI-generated content against real renewable energy engineering practice. Your work will focus on whether responses are accurate, relevant, and useful in real engineering workflows.
You will work independently and asynchronously with AI research teams. Previous AI experience is not required.
- Create expert training data based on renewable energy engineering practice and daily-use tools.
- Evaluate AI-generated responses for technical accuracy and relevance.
- Give clear feedback to improve how AI systems understand renewable energy workflows and industry practices.
- Apply practical knowledge of renewable energy modeling, microgrid design, and asset performance analysis.
What it pays and takes
This is fully remote, part-time contract work for candidates in the United States. The schedule is flexible and asynchronous, with a 20+ hour weekly time requirement.
- Pay: up to $80 per hour.
- Location: United States; fully remote.
- Schedule: flexible, asynchronous work with a 20+ hour weekly requirement.
- Experience: at least two years in renewable energy engineering, microgrid design, asset performance, or an equivalent energy-industry role.
- Relevant backgrounds include microgrid engineering, renewable energy engineering, solar engineering, renewable energy modeling, digital twin engineering, or asset performance management.
- Tools: hands-on experience with at least one of HOMER Pro, SAM, or GE Digital Twin.
- Skills: strong written communication, attention to detail, and the ability to work independently.
- Previous AI experience is not required.