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Electrical Engineering AI Trainer
About The Role
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
What You'll Do
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
Who You Are
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
Nice to Have
Experience with data annotation, technical writing, or quality evaluation
Familiarity with simulation tools (MATLAB, SPICE, etc.)
Background in research or academic problem design
Why Join Us
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
Work arrangement
Yes
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