Alignerr
Electrical Engineering
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Electrical Engineering
Electrical Engineering — AI Data Trainer
About The Role
We're looking for electrical engineers to help train and evaluate some of the world's most advanced AI models. Your domain expertise will directly shape how AI reasons through complex engineering problems — from circuit analysis to signal processing to power systems.
This is a rare opportunity to contribute to the frontier of AI development without leaving your home. Work on your own schedule, apply your technical knowledge in a new and impactful way, and help build the AI tools that engineers will rely on in the future.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
What You'll Do
- Design challenging problems: Craft advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, control systems, and electromagnetics to stress-test AI reasoning
- 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 circuit diagrams, mathematical proofs, and code for correctness, safety, and adherence to engineering standards (e.g., IEEE, NEC)
- Improve AI reasoning: Identify flaws in AI logic and provide structured feedback that helps models think more clearly through real engineering scenarios
- Document edge cases: Surface failure modes and edge cases across embedded systems, robotics, telecoms, and simulation domains
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Who You Are
Education:
- Currently pursuing or holding a Master’s or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
Requirements:
- Strong foundational knowledge in one or more areas: VLSI, control systems, telecommunications, power electronics, or signal processing
- Ability to communicate highly technical concepts clearly and precisely in writing
- Detail-oriented when reviewing equations, circuit logic, and technical documentation
- Self-directed and comfortable working asynchronously
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No prior AI experience required
Nice to Have:
- Experience with data annotation, data quality, or evaluation systems
- Familiarity with simulation tools (e.g., MATLAB, SPICE, LabVIEW)
- Background in academic research or technical writing
Why Join Us
- Work on cutting-edge AI projects in partnership with world-leading research labs
- Fully remote and flexible — set your own hours and workload (10–40 hrs/week)
- Freelance perks — enjoy autonomy, variety, and collaboration with a global expert community
- Get rare, hands-on exposure to how large language models are trained and evaluated
- Potential for ongoing work and contract extension
“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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