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