Electrical Engineering
About this role
About the Role We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need electrical engineers to make it happen. As an AI Trainer, you'll stress-test cutting-edge language models on real engineering challenges, expose their reasoning gaps, and help shape how AI thinks about complex technical problems. This is a rare opportunity to apply deep domain expertise in a meaningful new way — without leaving your home office. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week (flexible) --- What You'll Do - Design Challenging Problems — Create advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems that push AI models to their limits - Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation - 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 logical flaws and reasoning errors in AI outputs, then provide structured feedback that drives genuine model improvement - Document Failure Modes — Systematically record how and where AI models break down on engineering tasks to help research teams harden model performance --- Who You Are - Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline - Strong foundational knowledge in one or more core areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing - Able to communicate complex technical concepts clearly and precisely in writing - Detail-oriented — you catch errors in equations, circuit logic, and technical documentation that others miss - Self-motivated and comfortable working independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, data quality assessment, or evaluation systems - Familiarity with working across multiple engineering sub-disciplines --- Why Join Us - Work on what matters — your expertise directly shapes how next-generation AI understands and reasons about engineering - Fully remote and flexible — set your own hours and work on your own schedule - Freelance autonomy — no micromanagement, no commute, no rigid 9-to-5 - Collaborate globally — connect with a diverse team of engineers and AI researchers from around the world - Ongoing opportunity — strong contributors are considered for contract extension and future projects
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