Electrical Engineering

Electrical Engineering — AI Data Trainer

We’re looking for electrical engineering experts to help train and improve cutting‑edge AI models being developed with the world’s leading AI research labs. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from circuit analysis to control systems to signal processing.

This is a fully remote, flexible contract role. You set your own schedule and work as much or as little as fits your life.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Design Challenging Problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, electromagnetics, and control systems to probe and stress‑test AI performance
• Author Ground‑Truth Solutions — Develop rigorous, step‑by‑step technical solutions that serve as benchmarks for AI learning and reasoning
• Audit Technical Accuracy — Review AI‑generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (IEEE, NEC, etc.)
• Sharpen AI Reasoning — Identify logical gaps or failures in AI responses and provide structured feedback to improve how models think through engineering problems

• 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 areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing
• Able to communicate highly technical concepts clearly and precisely in written form
• Detail‑oriented — comfortable checking mathematical derivations, circuit logic, and technical documentation for accuracy
• No prior AI or data annotation experience required

• Experience with data annotation, data quality review, or AI evaluation workflows
• Familiarity with simulation tools (MATLAB, SPICE, etc.)
• Background spanning multiple EE subfields

• Work on some of the most advanced AI models being built today
• Fully remote and asynchronous — work on your own schedule from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Meaningful impact — your expertise directly improves how AI handles real engineering reasoning
• Potential for ongoing work and contract extension