The work
You will help improve AI systems by creating engineering training data and reviewing AI-generated responses. Your feedback will show whether answers are accurate, relevant, complete, and consistent with real power systems practice.
- Create training data based on practical power systems engineering experience.
- Evaluate AI-generated responses for technical accuracy, relevance, and real-world fit.
- Apply knowledge of power systems analysis, grid planning, transmission and distribution engineering, and industrial controls.
- Write clear feedback that separates sound answers from incomplete, inaccurate, or irrelevant responses.
- Work independently and asynchronously with careful attention to detail.
What it pays and takes
This is an ongoing, project-based contract opportunity for candidates in the United States. The work can fit alongside other commitments and uses a flexible, asynchronous schedule.
- Pay: Up to $80 per hour.
- Schedule: 20+ hours per week with flexible, asynchronous work.
- Location: Remote; open to candidates in the United States.
- Experience: At least two years of professional experience in power systems engineering, transmission and distribution planning, industrial controls, or an equivalent energy-industry role.
- Relevant backgrounds include distribution or transmission planning, power systems or reliability engineering, SCADA, control systems, and automation.
- Tools: Hands-on experience with one or more of CYME, PSS/E, ETAP, or WinCC.
- Communication: Strong written communication and the ability to explain technical decisions clearly.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.