The work
You will help create and review training data for AI systems that work with energy project development and cost estimation. Your reviews should reflect real-world solar design and pre-construction practices.
The work is remote, project-based, and asynchronous. Projects may include creating expert examples, checking AI-generated responses, and explaining where content is inaccurate or irrelevant.
- Create training data from practical experience in energy project estimation, pre-construction, and solar design.
- Evaluate AI-generated responses for accuracy, relevance, and fit with real project development and cost estimation practices.
- Use professional tools and provide clear written feedback.
- Work independently as project needs arise.
What it pays and takes
This is ongoing contract work with a flexible schedule. Participation depends on current project needs, and no prior AI experience is required.
- Pay: Up to $85 per hour.
- Location: Open to candidates in the United States.
- Time: 20+ hours per week.
- Work arrangement: Fully remote, flexible, and asynchronous.
- Experience: At least two years in energy project estimation, pre-construction, solar design, or a comparable energy-industry role.
- Relevant backgrounds include estimator, project engineer, pre-construction manager, and solar design engineer.
- Tools: Hands-on experience with one or more of Bluebeam Revu, RSMeans, and Aurora Solar.
- Skills: Strong written communication, careful attention to detail, independent work, and fluency in English.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.