About the Role
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