Electrical Engineering AI Evaluation Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting contractors for specialized projects that help improve how advanced AI systems reason about professional work.

Create a free OpenTrain account to build your profile, discover relevant opportunities, and apply in minutes. Your profile can help showcase credible AI training experience as you develop a long-term portfolio.

• Remote work available worldwide
• Contractor and part-time engagement
• 20+ hours per week
• Pay of $70-$80 USD per hour

About AI Training and Evaluation

AI training is the human side of building artificial intelligence. Experts create realistic examples, assess model outputs, and explain what makes a response accurate, safe, and useful. This work helps AI systems perform more effectively in specialized professional settings.

In this role, your electrical engineering expertise will shape evaluation tasks that distinguish authentic enterprise engineering judgment from generic textbook responses.

• Work directly on cutting-edge AI development
• Use professional expertise to assess technical reasoning
• Support models operating in complex industrial and technology contexts
• Choose flexible work around your schedule and workload

The Role

OpenTrain is seeking an Electrical Engineering AI Evaluation Expert to create demanding evaluation tasks for AI systems operating in enterprise electrical systems and product design contexts. You will translate senior engineering judgment into realistic scenarios, reference outputs, technical analyses, and assessment rubrics.

The work should reflect the complexity, safety considerations, production scale, and governance practices of major industrial and technology organizations. Assignments support international standards using IEC and United States standards including NEC, NFPA 70, NESC, and IEEE.

• Subject matter focus: enterprise electrical engineering evaluation
• Data type: text
• Work types: evaluation, rating, and text generation
• Listed experience level: entry level, with specialized professional requirements

What You'll Do

You will construct realistic scenarios covering complex circuit and systems design cycles, multi-stakeholder design reviews, manufacturing processes, and regulatory certification.

You will also produce reference materials and evaluation criteria that capture the technical and organizational judgment expected in enterprise electrical engineering workflows.

• Develop tasks across power systems and grid infrastructure
• Create scenarios involving semiconductor and PCB design
• Cover embedded systems, firmware, signal processing, and control systems engineering
• Write reference design specifications and engineering analyses
• Prepare executive-level technical narratives
• Apply circuit analysis, simulation, control theory, EMC and EMI compliance, reliability analysis, and failure mode analysis
• Author rubrics that separate enterprise engineering judgment from generic textbook or coursework-level answers
• Model workflows using Altium Designer, Cadence, MATLAB/Simulink, SPICE platforms, and enterprise PLM or EDA systems

Requirements

This project requires substantial professional electrical engineering experience despite the listed entry-level project classification. You should have at least five years of experience as an electrical engineer or engineering lead at a major technology, industrial, energy, or large enterprise organization.

Direct ownership of large-scale circuit designs, power systems, or engineering certification programs is expected. You must be able to apply IEC or United States standards to realistic engineering decisions and technical documentation.

• At least five years as an electrical engineer or engineering lead
• Direct ownership of large-scale circuit designs, power systems, or engineering certification programs
• Strong knowledge of electrical engineering tools and methodologies
• Experience with circuit analysis, simulation, EMC and EMI compliance, reliability analysis, and failure mode analysis
• Knowledge of safety standards, regulatory certification, and cross-functional design governance
• Ability to apply NEC, NFPA 70, NESC, IEEE, or IEC standards
• Experience with Altium Designer, Cadence, MATLAB/Simulink, SPICE, or enterprise PLM and EDA systems
• A US PE, CEng, EUR ING, or comparable professional engineering credential is a plus
• Experience authoring evaluation rubrics, engineering-training curricula, or design documentation is a plus
• English-language project

Why This Work Matters

Every major AI system depends on examples prepared and reviewed by people. By contributing rigorous engineering scenarios and evaluations, you will help shape how AI systems handle technical reasoning, safety considerations, and complex design decisions.

AI training and data-labeling work is a fast-growing way to work in tech. It can provide flexible, remote opportunities for specialists who want to apply their expertise to the development of state-of-the-art AI.

• Bring real engineering judgment to advanced AI systems
• Work remotely with a flexible part-time schedule
• Contribute to technical evaluation in a rapidly growing field
• Build experience in AI training alongside your engineering background

How to Apply Through OpenTrain

Create or update your free OpenTrain profile with your electrical engineering experience, technical tools, standards knowledge, and relevant design or certification work. Then apply through OpenTrain and manage this opportunity as part of your AI training portfolio.

• Contractor engagement
• Part-time schedule of 20+ hours per week
• Worldwide remote eligibility
• Hourly compensation of $70-$80 USD