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