Electrical Engineering

Electrical Engineering Expert (AI Training)
About the Role
We're looking for electrical engineering professionals to help train and evaluate cutting-edge AI models. Your technical expertise will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems to signal processing.
This is a fully remote, flexible contract role. You set your schedule and work as much or as little as fits your life.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• Design challenging problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, electromagnetics, signal processing, and control systems to rigorously test AI performance

• Author gold-standard solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning

• Audit AI outputs — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (IEEE, NEC, and others)

• Improve AI reasoning — Identify logical errors and gaps in AI-generated engineering reasoning, then provide structured feedback to guide model improvement

- Work asynchronously — Complete tasks independently on your own schedule with no fixed hours

• Work asynchronously — Complete tasks independently on your own schedule with no fixed hours

• Holds or is pursuing 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, or embedded systems

• Able to communicate complex technical concepts clearly and concisely in writing

• High attention to detail when working with mathematical equations, circuit logic, and technical documentation

- No prior AI or data annotation experience required

• No prior AI or data annotation experience required

• Experience with data annotation, data quality review, or technical evaluation systems

• Familiarity with simulation tools (MATLAB, SPICE, etc.)

- Background in applied or research engineering environments

• Background in applied or research engineering environments

• Work on frontier AI projects alongside world-leading research labs

• Fully remote and flexible — work whenever and wherever suits you

• Freelance perks: autonomy, variety, and global collaboration

• Gain rare, hands-on insight into how advanced language models are trained and evaluated

• Potential for ongoing work and contract extension