Electrical Engineering I - Remote

Electrical Engineering Expert (AI Training)
We're looking for electrical engineering professionals to help train and evaluate cutting-edge AI models. Your domain expertise will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems and beyond.
This is a fully remote, flexible contract role where your technical knowledge makes a real impact on the future of AI.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do

Design Complex Engineering Problems — Create advanced, domain-specific problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance
Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that guide AI learning
Audit Technical Accuracy — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards such as IEEE and NEC
Refine AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured, actionable feedback to improve model performance
Stress-Test AI Knowledge — Challenge advanced language models across embedded systems, signal processing, robotics, and engineering simulations, documenting failure modes to harden model reasoning
Who You Are

Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
Strong foundational expertise in one or more core areas: VLSI, control systems, telecommunications, power electronics, or signal processing
Able to communicate highly technical concepts clearly and concisely in written form
Detail-oriented — precise and methodical when reviewing mathematical equations, circuit logic, and technical documentation
Self-motivated and comfortable working independently on an asynchronous, flexible schedule
No prior AI experience required
Nice to Have

Experience with data annotation, data quality assessment, or evaluation systems
Familiarity with AI or machine learning workflows
Background in academic or applied engineering research
Why Join Us

Work on some of the most advanced AI projects in the world alongside top research labs
Fully remote and flexible — set your own hours and workload
Freelance perks: autonomy, variety, and global collaboration
Direct, meaningful impact on how AI understands engineering
Potential for ongoing work and contract extension