Electrical Engineering
About this role
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
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