Electrical Engineering
We partner with the world's leading AI research labs to build and train cutting-edge AI models — and we need electrical engineers who know their domain cold.
Hiring companyAlignerr
About the role
As an AI Data Trainer, you'll stress-test advanced language models on real engineering challenges, expose their blind spots, and help shape the next generation of AI reasoning.
This is a fully remote, flexible contract role. You set your schedule and work on your own terms.
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 long-term, ongoing contracts.
- Gain rare behind-the-scenes insight into how advanced LLMs are built and trained.
- Your expertise directly influences how AI understands and reasons about engineering.
Responsibilities
- Design Challenging Problems — Craft advanced electrical engineering problems across circuit analysis, power systems, signal processing, electromagnetics, and more to probe the limits of AI performance.
- Author Gold-Standard Solutions — Write rigorous, step-by-step solutions that serve as the benchmark the AI learns from.
- 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 flawed logic and reasoning gaps in AI responses, then provide structured feedback to improve how the model thinks through engineering problems.
- Document Failure Modes — Systematically record where and how AI models break down so those weaknesses can be addressed.
Required skills
- Strong foundational knowledge in one or more core domains: VLSI, control systems, signal processing, telecommunications, power electronics, or embedded systems.
- Able to communicate complex technical concepts clearly and precisely in writing.
- High attention to detail when reviewing equations, circuit logic, and technical documentation.
- Self-directed and comfortable working independently in an async environment.
Preferred skills
- Experience with data annotation, technical writing, or evaluation workflows.
- Familiarity with simulation tools (MATLAB, SPICE, etc.).
- Background in engineering standards bodies or technical review processes.
Experience and education
- Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field.
- No prior AI experience required — your engineering expertise is what matters.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible regions: Adelaide
Compensation details
$35–$60 per hour.
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