Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems to signal processing.

This is a fully remote, flexible contract role that lets you contribute to frontier AI research on your own schedule.

Why Join Us

• Work on some of the most advanced AI models being developed today.
• Fully remote and asynchronous — work when and where it suits you.
• Freelance perks: autonomy, flexibility, and collaboration with a global expert community.
• Meaningful work that directly influences how AI handles real-world engineering knowledge.
• Potential for ongoing work and contract extension.

• Design Challenging Problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, electromagnetics, signal processing, and control systems to rigorously test AI performance.
• Author Ground-Truth Solutions — Write detailed, 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 adherence to engineering standards (e.g., IEEE, NEC).
• Sharpen AI Reasoning — Identify logical gaps or errors in AI-generated engineering reasoning and provide structured feedback to improve model performance.

• Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field.
• No prior AI or data annotation experience required.

Work arrangement: Fully remote

Eligible regions: Cambridge