Alignerr
Electrical Engineering
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Electrical Engineering
Electrical Engineering — AI Data Trainer
About the Role
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. 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.
Organization
Alignerr
Type
Hourly Contract
Location
Remote
Commitment
10–40 hours/week
What You'll Do
- 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
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Who You Are
- Currently 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 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 asynchronous remote environment
- No prior AI experience required
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Nice to Have
- 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
Why Join Us
- Work on genuinely cutting-edge AI projects alongside top research labs
- Fully remote and asynchronous — 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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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