Electrical Engineering
We're looking for electrical engineering experts to help train and improve cutting-edge AI models.
Hiring companyAlignerr
About the role
Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems to signal processing.
This is a fully remote, flexible contract role where your expertise becomes the benchmark for AI performance.
Why Join Us
- Work on genuinely cutting-edge AI projects alongside top research labs.
- Fully remote and flexible — work on your own schedule, anywhere in the world.
- Freelance perks: autonomy, variety, and global collaboration.
- Gain rare, first-hand exposure to how advanced large language models are trained and evaluated.
- Potential for ongoing work and contract extension.
Responsibilities
- Design Challenging Problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, electromagnetics, signal processing, and control systems to stress-test AI capabilities.
- 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 code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (e.g., IEEE, NEC).
- Refine AI Reasoning — Identify logical errors in AI-generated responses and provide structured feedback to improve how models think through engineering problems.
- Work Independently — Complete assignments asynchronously on a schedule that works for you.
Required skills
- Strong foundational expertise in one or more core areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing.
- Able to communicate complex technical concepts clearly and concisely in writing.
- Highly precise when working with mathematical equations, circuit logic, and technical documentation.
- Self-motivated and comfortable working independently.
Preferred skills
- Experience with data annotation, data quality assurance, or AI evaluation workflows.
- Familiarity with simulation tools (e.g., MATLAB, SPICE, or similar).
- Background in applying engineering standards in professional or academic settings.
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: Manchester
Compensation details
$35–$60 per hour.
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