Electrical Engineering

Alignerr; Cambridge; On-site; GBP 55,000 - 131,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr is seeking an Electrical Engineering Expert (AI Training) to help train and improve cutting-edge AI models. You will design challenging electrical engineering problems, author detailed ground-truth solutions, and audit AI outputs for accuracy and safety.

This fully remote, flexible hourly contract lets you contribute to frontier AI research on your own schedule. Applicants should hold or be pursuing a Master’s or PhD in Electrical Engineering or a closely related field with strong

Qualifications

• Pursuing or holding a Master’s or PhD in Electrical Engineering, Electronic Engineering, or a closely related field.
• Strong foundational knowledge across EE domains such as circuit analysis, power electronics, and control systems.
• Able to communicate complex technical concepts clearly and precisely in writing.
• Meticulous attention to detail when reviewing equations, circuit logic, and technical documentation.
• No prior AI or data annotation experience required.

Responsibilities

• Design challenging problems across EE domains to rigorously test AI performance.
• Author ground-truth solutions with detailed, step-by-step explanations.
• Audit AI outputs for technical accuracy, safety, and engineering standards.
• Sharpen AI reasoning by identifying gaps and providing structured feedback.

Skills

Circuit analysis

Power electronics

Control systems

Telecommunications

Electrical engineering fundamentals

Written communication

Attention to detail

Education

Master's or PhD in Electrical Engineering or closely related field

Tools

Engineering simulation tools

Embedded systems

Robotics

Job description

Electrical Engineering Expert (AI Training)

About The Role

We're looking for electrical engineering experts to help train and improve cutting‑edge AI models. 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 that lets you contribute to frontier AI research on your own schedule.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Challenging Problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, electromagnetics, signal processing, and control systems to rigorously test AI performance
• Author Ground-Truth Solutions — Write detailed, 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)
• Sharpen AI Reasoning — Identify logical gaps or errors in AI‑generated engineering reasoning and provide structured feedback to improve model performance

Who You Are

• Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
• Strong foundational knowledge in one or more core EE domains — VLSI, control systems, telecommunications, power electronics, or similar
• Able to communicate complex technical concepts clearly and precisely in writing
• Meticulous attention to detail when reviewing equations, circuit logic, and technical documentation
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality workflows, or AI evaluation systems
• Familiarity with embedded systems, robotics, or engineering simulation tools
• Background in technical writing or academic publishing

Why Join Us

• Work on some of the most advanced AI models being developed today
• Fully remote and asynchronous — work when and where it suits you
• Freelance perks: autonomy, flexibility, and collaboration with a global expert community
• Meaningful work that directly influences how AI handles real-world engineering knowledge
• Potential for ongoing work and contract extension