Power Systems Engineer AI Evaluation Expert

Create realistic power engineering problems and assess AI-generated technical answers. Your reviews should judge whether responses are accurate, practical, safe, and consistent with engineering standards.

• Write scenarios based on power system design, analysis, testing, commissioning, operations, and field work.
• Review calculations, assumptions, methods, and recommendations for topics such as power flow, short-circuit analysis, protection, grid stability, and equipment selection.
• Apply your expertise in areas such as transmission and distribution, microgrids, substations, relay coordination, renewable and battery integration, power quality, grounding, arc-flash analysis, and utility operations.
• Give clear, structured feedback to help improve AI responses.

What it pays and takes

• Pay: Up to $120 per hour, depending on the project.
• Work arrangement: Ongoing, project-based contract work; remote and asynchronous, with no set schedule or minimum hours.
• Location: Open to professionals based in the United States.
• Experience: At least 2 years of hands-on power systems engineering experience, with depth in one or more power systems specialties.
• Education: An MS or PhD in Electrical Engineering, Power Engineering, or a related field, or a BS in Electrical Engineering combined with strong industry experience.
• Skills: Strong written communication, attention to detail, and the ability to explain complex power engineering ideas clearly and work independently.
• Language: Fluent in English.
• Helpful background: A PE license or similar certification; experience with IEEE, IEC, NERC, NFPA, or utility standards; or familiarity with power systems software, protective-relay platforms, utilities, grid operators, consultancies, EPC firms, equipment manufacturers, or renewable energy developers.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses examples prepared and reviewed by people to help improve AI systems. Power engineers bring the field knowledge needed to judge whether technical answers are accurate, workable, and safe.