Electrical Engineering
Electrical Engineering — AI Data Trainer About The Role We partner with the world's leading AI research labs to build smarter, more reliable AI models — and we need electrical engineers to help make it happen. As an AI Data Trainer, you'll use your deep domain expertise to challenge, evaluate, and improve advanced language models on technical electrical engineering content. This is a unique opportunity to sit at the intersection of engineering and artificial intelligence — shaping how the next generation of AI reasons through complex technical problems. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
Design Complex Engineering Problems — Create challenging, domain-specific problems across circuit analysis, power systems, signal processing, electromagnetics, and more to rigorously test AI performance Author Ground-Truth Solutions — Develop precise, step-by-step solutions and benchmark responses that AI models use as a reference for learning correct reasoning Audit Technical Accuracy — Review and evaluate AI-generated code, circuit diagrams, and mathematical derivations for correctness, safety, and alignment with engineering standards (IEEE, NEC, etc.) Improve AI Reasoning — Identify flaws in AI logic and provide structured, expert feedback to help models think more like an engineer Who You Are Currently 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 domains: VLSI, control systems, telecommunications, power electronics, signal processing, or embedded systems Able to communicate complex technical concepts clearly and precisely in written form Detail-oriented — you catch errors in equations, circuit logic, and technical documentation that others miss Self-directed and comfortable working asynchronously on your own schedule No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, quality evaluation, or technical writing Familiarity with simulation tools (MATLAB, SPICE, etc.) Background in multiple EE subfields
Why Join Us
Work on genuinely cutting-edge AI projects alongside top research labs and teams Fully remote and flexible — work when and how much you want, between 10–40 hours per week Freelance autonomy with the backing of a global, collaborative team Gain rare, behind-the-scenes exposure to how advanced large language models are trained and evaluated Potential for ongoing work and contract extension based on performance