Jobs · Engineering

Electrical Engineer

SME Careers · United States · 1 wk ago
RemoteRemoteEngineeringContract

Key Responsibilities

  • Evaluate AI-generated responses for technical accuracy, logical soundness, completeness, and clarity across electrical engineering topics.
  • Challenge advanced language models with realistic electrical engineering scenarios, calculations, and standards-informed reasoning tasks.
  • Review and refine AI-generated prompts, model responses, explanations, and step-by-step solutions (including correct math, units, and assumptions).
  • Provide structured feedback that identifies factual errors, unsafe recommendations, missing constraints, invalid assumptions, incorrect modeling, or incomplete reasoning.
  • Assess model performance on topics such as: Circuit design/analysis, Power systems, Power electronics, Controls, Embedded & digital, EMI/EMC & safety, Test & troubleshooting.
  • Help shape AI communication standards for technical EE content, including how models explain assumptions, limits, safety concerns, and professional judgment.
  • Ensure AI-generated content reflects responsible engineering practice—especially around electrical safety, compliance, and real-world feasibility.

Your Profile

  • 4+ years of professional electrical engineering experience, with significant hands-on work in one or more areas such as power systems, power electronics, industrial controls, embedded systems, analog/digital circuit design, RF/communications, signal processing, instrumentation, automation, electronics manufacturing/test, or a closely related specialty.
  • Deep knowledge of electrical engineering fundamentals, including circuit analysis, electronics, electromagnetics, signals & systems, control fundamentals, and safe engineering practices (grounding, isolation, protection, EMC/EMI).
  • Strong comfort with engineering calculations, assumptions, constraints, unit consistency, and defensible reasoning (including limitations and safety considerations).
  • Bachelor’s degree in Electrical Engineering (or closely related) required; Master’s/PhD, PE/Chartered, or advanced professional certifications strongly preferred.
  • Previous experience with AI data training, annotation, red-teaming, or evaluating AI-generated technical content is a strong plus.
  • Familiarity with tools/artifacts such as schematics, SPICE simulation, MATLAB/Simulink, PCB design, oscilloscopes/logic analyzers, power studies, or test reports is a plus.

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