Electrical Engineering

Company: Alignerr
Apply for the Electrical Engineering
Location: London
Job Description:

Overview

About The RoleWe’re partnering with the world’s leading AI research labs to build smarter, more technically rigorous AI systems — and we need electrical engineers to help make it happen. As an Electrical Engineering AI Trainer, you’ll use your domain expertise to challenge, evaluate, and improve advanced language models on topics spanning circuit analysis, power systems, signal processing, embedded systems, and more.

Role detailsOrganization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week

What You’ll Do

  • Design Challenging Problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance
  • Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
  • Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (e.g., IEEE, NEC)
  • Improve AI Reasoning — Identify logical gaps and reasoning errors in AI responses, then provide structured, actionable feedback to improve model performance
  • Work Independently — Manage your own workload asynchronously, contributing on a schedule that fits your life

Who You Are

  • Holds or is pursuing 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 signal processing
  • Able to communicate complex technical concepts clearly and concisely in writing
  • Detail-oriented with high precision when reviewing equations, circuit logic, and technical documentation
  • Self-motivated and comfortable working independently
  • No prior AI experience required

Nice to Have

  • Experience with data annotation, technical writing, or quality evaluation systems
  • Familiarity with LLMs or AI model evaluation workflows
  • Hands-on experience with simulation tools (e.g., MATLAB, SPICE, Simulink)

Why Join Us

  • Work on genuinely cutting-edge AI projects alongside top research labs
  • Fully remote and flexible — set your own hours and work from anywhere
  • Gain rare, behind-the-scenes exposure to how advanced AI models are trained and evaluated
  • Freelance perks: autonomy, variety, and global collaboration
  • Meaningful work that directly shapes how AI understands engineering
  • Potential for ongoing work and contract extension

#J-18808-Ljbffr…

Posted: April 25th, 2026