Electrical Engineering
We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI systems — and we need electrical engineers to help get us there.
Hiring companyAlignerr
About the role
As an Electrical Engineering AI Trainer, your deep domain expertise becomes the benchmark that cutting-edge language models are measured against.
This is a fully remote, flexible contract role where your knowledge directly shapes how AI understands and reasons through complex engineering problems.
Why Join Us
- Work on genuinely cutting-edge AI projects alongside top research labs.
- Fully remote and async — work when it suits you, from anywhere.
- Freelance perks: autonomy, variety, and collaboration with a global expert community.
- Directly influence how AI understands one of the most technically demanding fields in the world.
- Potential for ongoing work and contract extension.
Responsibilities
- Design Challenging Problems — Craft advanced electrical engineering problems across domains such as circuit analysis, power systems, signal processing, electromagnetics, control systems, and embedded systems to stress-test AI performance.
- Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as ground-truth benchmarks for AI learning and evaluation.
- Audit AI Outputs — Evaluate AI-generated responses, circuit diagrams, mathematical proofs, and code for technical accuracy, logical soundness, and adherence to engineering standards (e.g., IEEE, NEC).
- Sharpen AI Reasoning — Identify flaws in AI reasoning chains and deliver structured feedback that helps models think more like expert engineers.
Required skills
- Strong foundational expertise in one or more core domains: VLSI, control systems, telecommunications, power electronics, signal processing, or similar.
- Able to communicate complex technical concepts clearly and precisely in writing.
- Highly detail-oriented when reviewing equations, circuit logic, and technical documentation.
- Self-directed and comfortable working independently on a flexible schedule.
Preferred skills
- Experience with data annotation, technical writing, or quality evaluation workflows.
- Familiarity with simulation tools (MATLAB, SPICE, etc.).
- Background spanning multiple EE subfields.
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.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible regions: Vancouver
Compensation details
$35–$60 per hour.
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