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