Electrical Engineering
We're partnering with the world's leading AI research labs to build smarter, more reliable AI — and we need electrical engineers to make it happen.
Hiring companyAlignerr
About the role
As an AI Data Trainer, you'll stress-test advanced language models on complex engineering problems, author gold-standard solutions, and help shape how AI reasons through real-world technical challenges.
This is a fully remote, flexible contract role designed for engineers who want to do meaningful, intellectually stimulating work on their own schedule.
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 ongoing contract extensions.
- Engage deeply with your domain expertise in a way that creates real, lasting impact.
- Collaborate with a global network of subject-matter experts and AI researchers.
Responsibilities
- Design Challenging Problems — Craft 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 serve as the gold standard for AI learning.
- Audit Technical Accuracy — Review and evaluate AI-generated code, circuit diagrams, and mathematical proofs against engineering standards (e.g., IEEE, NEC).
- Improve AI Reasoning — Identify logical errors and gaps in AI-generated responses, then provide structured feedback to strengthen model performance.
- Document Failure Modes — Systematically record where and how AI reasoning breaks down across topics like embedded systems, VLSI, robotics, and engineering simulations.
Required skills
- Strong foundational knowledge in one or more core EE domains — VLSI, control systems, telecommunications, signal processing, or power electronics.
- Able to communicate highly technical concepts clearly and concisely in written form.
- Detail-oriented with a sharp eye for mathematical precision, circuit logic, and technical documentation.
- Self-motivated and comfortable working independently in an async remote environment.
Preferred skills
- Experience with data annotation, technical evaluation, or quality assurance workflows.
- Familiarity with LLMs or AI model training processes.
- Background in research, academic writing, or technical documentation.
Experience and education
- Currently pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline.
- No prior AI experience required.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible regions: Glasgow
Compensation details
$35–$60 per hour.
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