Posted 22 Sept 2026
Electrical Engineering
We partner with the world's leading AI research labs to build smarter, more reliable AI models — and we need electrical engineers to help make it happen.
Hiring companyAlignerr
About the role
As an AI Data Trainer, you'll use your technical expertise to challenge, evaluate, and improve how advanced AI systems reason through complex engineering problems.
This is a fully remote, flexible contract role that lets you work on genuinely cutting-edge technology on your own schedule.
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and teams.
- Fully remote and async — work when and where it suits you.
- Freelance perks: full autonomy, schedule flexibility, and global collaboration.
- Meaningful work — your expertise directly shapes how AI understands engineering.
- Potential for ongoing work and contract extension.
Responsibilities
- Design Challenging Problems — Craft advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, control systems, and electromagnetics to push AI to its limits.
- Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions and benchmark responses that AI models use as a gold standard for learning.
- 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 or gaps in AI-generated reasoning and provide structured feedback that helps models think more like a real engineer.
Required skills
- 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 concisely in writing.
- Precise and detail-oriented when reviewing equations, circuit logic, and technical documentation.
Preferred skills
- Experience with data annotation, data quality assessment, or evaluation systems.
- Familiarity with simulation tools (MATLAB, SPICE, etc.).
- Background in academic research or technical writing.
Experience and education
- Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field.
- No prior AI or data annotation experience required.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible regions: Manchester
Compensation details
$35–$60 per hour.
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