Electrical Engineering

Electrical Engineering — AI Data Trainer

About The Role

We partner with the world's leading AI research labs to build and train cutting-edge AI models — and we need electrical engineers who know their domain cold. As an AI Data Trainer, you'll stress-test advanced language models on real engineering challenges, expose their blind spots, and help shape the next generation of AI reasoning.

This is a fully remote, flexible contract role. You set your schedule and work on your own terms.

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

What You'll Do

• Design Challenging Problems — Craft advanced electrical engineering problems across circuit analysis, power systems, signal processing, electromagnetics, and more to probe the limits of AI performance
• Author Gold-Standard Solutions — Write rigorous, step-by-step solutions that serve as the benchmark the AI learns from
• Audit Technical Accuracy — Review AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.)
• Sharpen AI Reasoning — Identify flawed logic and reasoning gaps in AI responses, then provide structured feedback to improve how the model thinks through engineering problems
• Document Failure Modes — Systematically record where and how AI models break down so those weaknesses can be addressed

Who You Are

• Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
• Strong foundational knowledge in one or more core domains: VLSI, control systems, signal processing, telecommunications, power electronics, or embedded systems
• Able to communicate complex technical concepts clearly and precisely in writing
• High attention to detail when reviewing equations, circuit logic, and technical documentation
• Self-directed and comfortable working independently in an async environment
• No prior AI experience required — your engineering expertise is what matters

Nice to Have

• Experience with data annotation, technical writing, or evaluation workflows
• Familiarity with simulation tools (MATLAB, SPICE, etc.)
• Background in engineering standards bodies or technical review processes

Why Join Us

• Work on genuinely cutting-edge AI projects alongside top research labs
• Fully remote and async — work when and where it suits you
• Freelance flexibility with the potential for long-term, ongoing contracts
• Gain rare behind-the-scenes insight into how advanced LLMs are built and trained
• Your expertise directly influences how AI understands and reasons about engineering