The work
Create training examples based on real energy project estimation, pre-construction, and solar design practices. Review AI-generated responses and give clear feedback to help improve their accuracy and relevance.
- Use your professional judgment to assess whether AI responses reflect accurate energy project development and cost-estimation workflows.
- Work independently and collaborate asynchronously with AI research teams.
What it pays and takes
- Pay: Up to $85 per hour, depending on the project and your experience.
- Hours: Flexible, with no minimum. Contributors commonly work about 5–20 hours per week when a project is active.
- Location: Remote; open to candidates in the United States.
- Work type: Flexible, asynchronous contract work.
- Experience: At least two years in energy project estimation, pre-construction, solar design, or a comparable energy-industry role.
- Relevant roles include estimator, project engineer, pre-construction manager, or solar design engineer.
- Hands-on experience with at least one of Bluebeam Revu, RSMeans, or Aurora Solar.
- Strong written English, careful attention to detail, and the ability to work independently.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training uses examples and human reviews to teach AI systems how to respond. Experienced energy professionals bring real project workflows and cost-estimation judgment to this work.