Electrical Engineering

Alignerr

Remote

Electrical Engineering Expert (AI Training)

About The Role

We're looking for electrical engineering professionals to help train and evaluate cutting-edge AI models. Your domain expertise will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems and beyond.

This is a fully remote, flexible contract role where your technical knowledge makes a real impact on the future of AI.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Design Complex Engineering Problems — Create advanced, domain-specific problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance
  • Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that guide AI learning
  • Audit Technical Accuracy — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards such as IEEE and NEC
  • Refine AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured, actionable feedback to improve model performance
  • Stress-Test AI Knowledge — Challenge advanced language models across embedded systems, signal processing, robotics, and engineering simulations, documenting failure modes to harden model reasoning

Who You Are

  • Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
  • Strong foundational expertise in one or more core areas: VLSI, control systems, telecommunications, power electronics, or signal processing
  • Able to communicate highly technical concepts clearly and concisely in written form
  • Detail-oriented — precise and methodical when reviewing mathematical equations, circuit logic, and technical documentation
  • Self-motivated and comfortable working independently on an asynchronous, flexible schedule
  • No prior AI experience required

Nice to Have

  • Experience with data annotation, data quality assessment, or evaluation systems
  • Familiarity with AI or machine learning workflows
  • Background in academic or applied engineering research

Why Join Us

  • Work on some of the most advanced AI projects in the world alongside top research labs
  • Fully remote and flexible — set your own hours and workload
  • Freelance perks: autonomy, variety, and global collaboration
  • Direct, meaningful impact on how AI understands engineering
  • Potential for ongoing work and contract extension

How to apply

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