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 capable AI models — and we need electrical engineers to make it happen. As an AI Data Trainer, you'll stress-test advanced language models on real engineering problems, expose their blind spots, and help shape how AI reasons through complex technical challenges.

This is a unique opportunity to apply your deep domain expertise to one of the most impactful fields in technology today — on your own schedule, from anywhere in the world.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Challenging Problems —
  • Create 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 AI models learn from and are evaluated against
  • Audit Technical Accuracy —
  • Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.)
  • Refine AI Reasoning —
  • Identify logical errors and flawed reasoning in AI responses, then provide structured feedback to improve how the model thinks through engineering tasks
  • Work Asynchronously —
  • Manage your own workload and schedule with full flexibility

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 EE domains —
  • VLSI, control systems, telecommunications, power electronics, signal processing, or embedded systems
  • Able to communicate complex technical concepts clearly and precisely in writing
  • Detail-oriented with a sharp eye for mathematical and logical accuracy
  • Self-motivated and comfortable working independently
  • No prior AI experience required

Nice to Have

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

Why Join Us

• Work on cutting-edge AI projects alongside world-class research teams
• Fully remote and flexible — work when and where you choose
• Freelance perks: autonomy, variety, and global collaboration
• Direct exposure to how advanced large language models are built and trained
• Potential for ongoing work and contract extension