Overview
Electrical Engineering — AI Data Trainer
About The Role: We're partnering with the world's leading AI research labs to build smarter, more reliable AI — and we need electrical engineers to make it happen. As an AI Data Trainer, you'll stress-test advanced language models on complex engineering problems, author gold-standard solutions, and help shape how AI reasons through real-world technical challenges. This is a fully remote, flexible contract role designed for engineers who want to do meaningful, intellectually stimulating work on their own schedule.
What You'll Do
* Design Challenging Problems — Craft advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems to push AI to its limits
* Author Ground-Truth Solutions — Develop rigorous, step-by-step solutions and benchmark responses that serve as the gold standard for AI learning
* Audit Technical Accuracy — Review and evaluate AI-generated code, circuit diagrams, and mathematical proofs against engineering standards (e.g., IEEE, NEC)
* Improve AI Reasoning — Identify logical errors and gaps in AI-generated responses, then provide structured feedback to strengthen model performance
* Document Failure Modes — Systematically record where and how AI reasoning breaks down across topics like embedded systems, VLSI, robotics, and engineering simulations
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 EE domains — VLSI, control systems, telecommunications, signal processing, or power electronics
* Able to communicate highly technical concepts clearly and concisely in written form
* Detail-oriented with a sharp eye for mathematical precision, circuit logic, and technical documentation
* Self-motivated and comfortable working independently in an async remote environment
* No prior AI experience required
Nice to Have
* Experience with data annotation, technical evaluation, or quality assurance workflows
* Familiarity with LLMs or AI model training processes
* Background in research, academic writing, or technical documentation
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 ongoing contract extensions
* Engage deeply with your domain expertise in a way that creates real, lasting impact
* Collaborate with a global network of subject-matter experts and AI researchers
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