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 expert electrical engineers to help us do it. This is a unique opportunity to apply your deep technical knowledge in a high-impact, fully remote role that fits around your schedule.

You'll put advanced AI models through their paces across domains like embedded systems, signal processing, power systems, and control theory — probing their limits, exposing their weaknesses, and helping shape how they reason through complex engineering problems.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

• Commitment: 10–40 hours/week

What You'll Do

• Design Challenging Problems — Craft advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and more to rigorously test AI performance
• Author Gold-Standard Solutions — Develop precise, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
• Audit AI Outputs — Review AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and compliance with engineering standards (e.g., IEEE, NEC)
• Sharpen AI Reasoning — Identify logical gaps and flaws in AI-generated engineering reasoning, then provide structured feedback to improve model performance
• Work Flexibly — Complete assignments independently and asynchronously on a schedule that works for you

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 domains: VLSI, control systems, telecommunications, power electronics, or similar
• Able to communicate complex technical concepts clearly and precisely in writing
• Highly detail-oriented when reviewing mathematical equations, circuit logic, and engineering documentation
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, technical writing, or evaluation systems
• Familiarity with engineering simulation tools or formal verification methods
• Exposure to LLMs or AI-assisted engineering tools

Why Join Us

• Work on genuinely cutting-edge AI projects alongside top research labs
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance autonomy with the backing of a well-connected AI organization
• Gain rare, behind-the-scenes insight into how advanced language models are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch