Power Systems Engineer AI Evaluation Expert

OpenTrain AI, Inc.

United States

Remote

USD 136,000 - 194,000

Full time

3 days ago
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Job summary

OpenTrain AI, Inc. seeks power engineering professionals to create and review AI-driven answers for safety and standards. You will develop scenarios across design, analysis, testing, commissioning, and field work for power systems.

Requirements include 2+ years of hands-on power systems experience, an MS/PhD in Electrical Engineering (or BS with strong industry background), and strong written communication. Remote, asynchronous, and US-based work with no fixed schedule.

Qualifications

  • MS/PhD in Electrical Engineering or BS with strong industry experience.
  • At least 2 years of hands-on power systems engineering experience.
  • Strong written communication and ability to explain complex ideas clearly and work independently.

Responsibilities

  • Create realistic power engineering problems and assess AI-generated technical answers for accuracy, feasibility, safety, and standards.
  • Write scenarios based on power system design, analysis, testing, commissioning, operations, and field work.
  • Review calculations, assumptions, methods, and recommendations for power flow, short-circuit, protection, grid stability, equipment selection.
  • Apply expertise in transmission, distribution, microgrids, substations, relay coordination, renewables, power quality, grounding, arc-flash analysis, and utilities.
  • Provide clear, structured feedback to help improve AI responses.

Skills

Strong written communication
Attention to detail
Independent work

Education

MS in Electrical Engineering
MS in Power Engineering
PhD in Electrical Engineering
BS in Electrical Engineering + industry exp

Tools

Power systems software
Protective-relay platforms
IEEE/IEC/NERC/NFPA standards

Job description

Create power engineering scenarios and review AI answers for accuracy, feasibility, safety, and standards. Remote US contract work pays up to $120 per hour, with no set schedule or minimum hours.

Remote Hourly · $120/hr

$120/hr

Compensation

Contract

Engagement

Remote

Location

Posted

Open to applicants in

United States

The work

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.
  • 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.
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.

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