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.
Contract Details
* 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
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