Electrical Engineering

Electrical Engineering — AI Data Trainer
About The Role
We partner with the world's leading AI research labs to build and train the next generation of AI models — and we need experienced electrical engineers to help make them smarter.
As an Electrical Engineering AI Trainer, your domain expertise becomes the benchmark. You'll design challenging problems, write authoritative solutions, and audit AI reasoning across topics like circuit analysis, power systems, signal processing, and embedded systems. Your work directly shapes how AI understands and reasons through real engineering problems.
This is a fully remote, flexible contract role. You choose when and how much you work.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Challenging Problems — Create advanced electrical engineering problems across domains including circuit analysis, power systems, signal processing, control systems, and electromagnetics to push AI models to their limits
Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as the gold standard for AI learning and benchmarking
Audit AI Outputs — Evaluate AI-generated code, circuit diagrams, mathematical proofs, and technical explanations for accuracy, safety, and alignment with engineering standards (IEEE, NEC, etc.)
Sharpen AI Reasoning — Identify logical flaws and gaps in AI-generated engineering reasoning, then provide structured, actionable feedback to improve model performance
Who You Are
Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
Strong foundational knowledge in one or more core EE domains — VLSI, control systems, telecommunications, power electronics, signal processing, or similar
Able to communicate complex technical concepts clearly and precisely in writing
Detail-oriented with a sharp eye for mathematical correctness, circuit logic, and technical documentation
No prior AI or data annotation experience required
Nice to Have
Experience with data annotation, technical writing, or evaluation systems
Familiarity with AI or machine learning workflows
Background in simulation tools (MATLAB, SPICE, etc.)
Why Join Us
Work on some of the most technically demanding AI projects in existence
Fully remote and asynchronous — work on your own schedule
Freelance flexibility: autonomy, variety, and collaboration with a global team
Gain firsthand exposure to how advanced large language models are trained and evaluated
Potential for ongoing work and contract extension

Work arrangement
Yes