Electrical Engineering

* Design Challenging Problems — Develop advanced electrical engineering problems across domains including circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance * Author Ground-Truth 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 alignment with engineering standards (IEEE, NEC, etc.) * Improve AI Reasoning — Identify flaws in AI logic and provide structured, actionable feedback that helps models think more accurately about engineering tasks * Document Failure Modes — Probe models on topics like embedded systems, signal processing, robotics, and simulations, and systematically log where and how they break down

Who You Are

* Advanced degree in Electrical Engineering, Electronic Engineering, or a closely related field (Master's — currently pursuing or completed — or PhD) * Strong domain expertise in one or more core areas: VLSI, control systems, telecommunications, power electronics, or similar * Analytical communicator — you can explain complex technical concepts clearly and concisely in writing * Detail-oriented — you catch errors in equations, circuit logic, and technical documentation that others miss * No prior AI experience required — if you know your engineering, we'll teach you the rest

Nice to Have

* Experience with data annotation, technical evaluation, or quality assurance workflows * Familiarity with AI or large language model (LLM) evaluation

Why Join Us

* Work on cutting-edge AI projects in collaboration with world-leading research labs * Fully remote and flexible — work on your own schedule, from anywhere * Freelance perks: autonomy, variety, and global collaboration * Gain firsthand exposure to how advanced LLMs are trained and evaluated * Meaningful work — your expertise directly improves AI reliability in technical domains * Potential for ongoing work and contract extension