Electrical Engineering

Electrical Engineering AI Trainer

We're partnering with the world's leading AI research labs to make AI smarter — and we need real electrical engineers to do it. As an Electrical Engineering AI Trainer, you'll use your domain expertise to challenge, evaluate, and improve advanced AI models across core EE disciplines. Your work directly shapes how the next generation of AI reasons through complex technical problems.

This is a fully remote, flexible contract role — work on your own schedule, as much or as little as you want.

Organization:
Alignerr

Type:
Hourly Contract

Location:

Remote

Commitment: 10–40 hours/week

• Design Challenging Problems — Create advanced, domain-specific electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and more to rigorously test AI performance
• Author Gold-Standard Solutions — Write precise, step-by-step solutions that serve as the benchmark for AI learning and evaluation
• Audit Technical Accuracy — Review AI-generated code, circuit diagrams, mathematical proofs, and technical explanations for correctness, safety, and adherence to engineering standards (IEEE, NEC, etc.)
• Sharpen AI Reasoning — Identify flaws in AI logic and provide structured, expert feedback that directly improves how the model approaches engineering problems
• Document Failure Modes — Record how and where AI models fall short so research teams can target specific weaknesses

• 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 complex technical concepts clearly and concisely in writing
• Meticulous attention to detail when reviewing equations, circuit logic, and technical documentation
• Self-directed and comfortable working independently in an async environment
• No prior AI experience required — your engineering expertise is what matters

• Experience with data annotation, technical writing, or quality evaluation
• Familiarity with simulation tools (MATLAB, SPICE, etc.)
• Background in research or academic problem design

• Work on some of the most technically challenging AI projects in the industry
• Fully remote and asynchronous — work from anywhere, on your schedule
• Freelance perks: autonomy, flexibility, and collaboration with experts globally
• Exposure to cutting-edge large language models and how they're trained
• Potential for ongoing work and contract extension
• Contribute to AI systems that will be used by engineers and researchers worldwide