Electrical Engineering

Electrical Engineering — AI Data Trainer
About The Role
We're partnering with the world's leading AI research labs to build smarter, more reliable AI — and we need electrical engineers to make it happen. As an AI Data Trainer, you'll stress-test advanced language models on complex engineering problems, author gold-standard solutions, and help shape how AI reasons through real-world technical challenges.
This is a fully remote, flexible contract role designed for engineers who want to do meaningful, intellectually stimulating work on their own schedule.
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 control systems to push AI to its limits
Author Ground-Truth Solutions — Develop rigorous, step-by-step solutions and benchmark responses that serve as the gold standard for AI learning
Audit Technical Accuracy — Review and evaluate AI-generated code, circuit diagrams, and mathematical proofs against engineering standards (e.g., IEEE, NEC)
Improve AI Reasoning — Identify logical errors and gaps in AI-generated responses, then provide structured feedback to strengthen model performance
Document Failure Modes — Systematically record where and how AI reasoning breaks down across topics like embedded systems, VLSI, robotics, and engineering simulations
Who You Are
Currently pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline
Strong foundational knowledge in one or more core EE domains — VLSI, control systems, telecommunications, signal processing, or power electronics
Able to communicate highly technical concepts clearly and concisely in written form
Detail-oriented with a sharp eye for mathematical precision, circuit logic, and technical documentation
Self-motivated and comfortable working independently in an async remote environment
No prior AI experience required
Nice to Have
Experience with data annotation, technical evaluation, or quality assurance workflows
Familiarity with LLMs or AI model training processes
Background in research, academic writing, or technical documentation
Why Join Us
Work on genuinely cutting-edge AI projects alongside top research labs
Fully remote and async — work when and where it suits you
Freelance flexibility with the potential for ongoing contract extensions
Engage deeply with your domain expertise in a way that creates real, lasting impact
Collaborate with a global network of subject-matter experts and AI researchers

Work arrangement
Yes