Remote Electrical QA Lead for AI Training

AI Trainer Jobs

United States

Remote

USD 96,000 - 145,000

Full time

2 days ago
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Job summary

SME Careers is seeking an Electrical Engineering Quality Assurance Lead (QAL) for an hourly remote contractor role to oversee quality across electrical engineering AI training projects. You will review AI-generated electrical engineering content and trainer work, evaluate output against project guidelines, and provide precise written feedback.

You will assess technical accuracy, circuit analyses, calculations, safety, units, and rubric adherence; spot recurring quality issues; support

Qualifications

  • Bachelor’s or Master’s degree in EE or related field.
  • 3+ years of professional electrical engineering experience.
  • Strong English for technical feedback.
  • Deep knowledge of circuit analysis and power systems.
  • Experience leading or supporting remote teams.

Responsibilities

  • Quality monitoring and feedback to trainers and QAs.
  • Technical review of AI-generated engineering explanations and calculations.
  • Communicate guidelines and rubric changes via Discord.
  • Onboarding/training calls and documentation maintenance.
  • Identify recurring quality gaps and improve QA processes.

Skills

Trainer Feedback
Technical Review
Electronics
Power Systems
Circuit Analysis
Documentation
Electrical Engineering
Engineering QA
AI Training
LLM evaluation

Education

Bachelor’s or Master’s in Electrical Engineering
Related engineering field

Tools

SPICE/LTspice
MATLAB
Simulink
Python
Verilog/VHDL
PCB design tools

Job description

SME Careers is seeking an Electrical Engineering Quality Assurance Lead (QAL) for an hourly remote contractor role to oversee quality across electrical engineering AI training projects. You will review AI-generated electrical engineering content and trainer work, evaluate output against project guidelines, and provide precise written feedback.

You will assess technical accuracy, circuit analyses, calculations, safety, units, and rubric adherence; spot recurring quality issues; support

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