Electrical Engineering

Job summary

Develop challenging electrical engineering problems and rigorous benchmark solutions to evaluate and improve AI models. Review AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and compliance with engineering standards, then provide actionable feedback.

Job details

Electrical Engineering — AI Data Trainer About The Role We're looking for electrical engineers to help train and improve the next generation of AI models. Your deep technical knowledge will be used to challenge, evaluate, and refine how AI reasons through complex engineering problems — from circuit analysis to control systems to signal processing. This is a fully remote, flexible contract role. You set your schedule and work as much or as little as suits you. 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, electromagnetics, and embedded systems to stress-test AI performance 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 outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (e.g., IEEE, NEC) Improve AI Reasoning — Identify flaws in AI logic and provide structured, actionable feedback to sharpen how the model thinks through engineering problems Who You Are Advanced Degree — Master's (pursuing or completed) or PhD in Electrical Engineering, Electronic Engineering, or a closely related field Domain Expertise — Strong foundational knowledge in one or more core areas: VLSI, control systems, telecommunications, power electronics, signal processing, or similar Precise Communicator — Able to explain highly technical concepts clearly and concisely in written form Detail-Oriented — High level of accuracy when reviewing mathematical equations, circuit logic, and technical documentation No prior AI experience required — we'll get you up to speed Nice to Have Prior experience with data annotation, technical writing, or evaluation systems Familiarity with AI or machine learning workflows Why Join Us Work on genuinely cutting-edge AI projects in partnership with leading research labs Fully remote and async — work on your own schedule, from anywhere Freelance autonomy with the opportunity for ongoing, extended contract work Contribute to AI that actually understands engineering — your expertise makes a real difference Collaborate with a global network of technical specialists and AI researchers

What you’ll do

Develop challenging electrical engineering problems and rigorous benchmark solutions to evaluate and improve AI models. Review AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and compliance with engineering standards, then provide actionable feedback.

Requirements

Applicants must be pursuing or hold a master's degree or PhD in electrical engineering, electronic engineering, or a closely related field, with strong expertise in at least one core electrical engineering domain. They should communicate technical concepts clearly and review equations, circuit logic, and documentation accurately; prior AI experience is not required.

Benefits

• Flexible Schedule
• Fully Remote Work
• Freelance Autonomy
• Potential for Ongoing Contract Work
• Collaboration with Technical Specialists and AI Researchers

Listed skills

• Power Electronics · Preferred
• Embedded Systems · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Electrical Engineering
• Circuit Analysis
• Power Systems
• Signal Processing
• Electromagnetics
• Embedded Systems
• VLSI
• Control Systems
• Telecommunications
• Power Electronics
• Technical Writing
• Mathematical Analysis
• Circuit Diagram Review
• AI Output Evaluation
• Engineering Standards
• Technical Communication

Job areas

• Engineering
• Technology
• Data & Analytics
• Science & Research

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