Electrical Engineering --- AI Trainer About The Role We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models --- and we need electrical engineers to make it happen. As an AI Trainer, you'll stress-test cutting-edge language models on real engineering challenges, expose their reasoning gaps, and help shape how AI thinks about complex technical problems.
This is a rare opportunity to apply deep domain expertise in a meaningful new way --- without leaving your home office.
- Organization: Alignerr
- Type: Hourly Contract
- Standort: Remote
- Commitment: 10--40 hours/week (flexible)
Was Sie tun werden
- Design Challenging Problems --- Create advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems that push AI models to their limits
- Author Gold-Standard Solutions --- Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
- Audit Technical Accuracy --- Review AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.)
- Sharpen AI Reasoning --- Identify logical flaws and reasoning errors in AI outputs, then provide structured feedback that drives genuine model improvement
- Document Failure Modes --- Systematically record how and where AI models break down on engineering tasks to help research teams harden model performance
Who You Are
- 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 areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing
- Able to communicate complex technical concepts clearly and precisely in writing
- Detail-oriented --- you catch errors in equations, circuit logic, and technical documentation that others miss
- Self-motivated and comfortable working independently and asynchronously
- No prior AI experience required
Nice to Have
- Experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with working across multiple engineering sub-disciplines
Why Join Us
- Work on what matters --- your expertise directly shapes how next-generation AI understands and reasons about engineering
- Fully remote and flexible --- set your own hours and work on your own schedule
- Freelance autonomy --- no micromanagement, no commute, no rigid 9-to-5
- Collaborate globally --- connect with a diverse team of engineers and AI researchers from around the world
- Ongoing opportunity --- strong contributors are considered for contract extension and future projects
