United Kingdom

Remote Electrical Engineer for AI Training & Evaluation, Birmingham

Remote Electrical Engineer for AI Training & Evaluation, Birmingham
Description

Electrical Engineering Expert (AI Training)

About The Role

We're looking for electrical engineering experts to help train and improve cutting-edge AI models. Your deep technical knowledge will directly shape how AI understands and solves complex engineering problems — from circuit analysis to power systems to signal processing.

This is a unique opportunity to work at the intersection of engineering and artificial intelligence, contributing to research that pushes the boundaries of what AI can do in technical domains.

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

What You'll Do

  • Design Complex Problems — Develop challenging, domain-specific electrical engineering problems across areas like circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance
  • Author Ground-Truth Solutions — Write detailed, step-by-step technical solutions and benchmark responses that AI models use as a gold standard for learning
  • Audit Technical Accuracy — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (e.g., IEEE, NEC)
  • Improve AI Reasoning — Identify logical gaps or flaws in AI-generated engineering reasoning and provide structured, actionable feedback to help models think more accurately

Who You Are

  • Currently pursuing or have completed a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
  • Strong foundational knowledge in one or more core areas: VLSI, control systems, telecommunications, power electronics, or embedded systems
  • Able to communicate complex technical concepts clearly and precisely in written form
  • Highly detail-oriented when reviewing mathematical equations, circuit logic, and technical documentation
  • Self-motivated and comfortable working independently on an asynchronous schedule
  • No prior AI experience required

Nice to Have

  • Experience with data annotation, data quality, or AI evaluation workflows
  • Familiarity with simulation tools (e.g., MATLAB, SPICE, or similar)
  • Background in technical writing or academic publishing

Why Join Us

  • Work on frontier AI projects in partnership with leading AI research labs
  • Fully remote and flexible — work on your own schedule, wherever you are
  • Freelance perks: autonomy, variety, and global collaboration
  • Gain rare, hands-on exposure to how advanced large language models (LLMs) are trained and evaluated
  • Contribute to meaningful work that advances AI's ability to reason through real engineering challenges
  • Potential for ongoing work and contract extension
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