Electrical Engineering

Alignerr; Wellington; Remote; NZD 96,000 - 165,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking an Electrical Engineering Expert to design and evaluate AI training problems across circuit analysis, power systems, electromagnetics, and signal processing. This fully remote, hourly contract role offers flexible scheduling and a chance to shape how AI reasons about complex engineering tasks while working with leading researchers.

Your work will involve drafting rigorous solutions, auditing AI outputs against IEEE and NEC standards, and delivering actionable feedback to

Qualifications

• Pursuing or holding a Master's or PhD in Electrical Engineering or related field.
• Strong foundation in VLSI, control systems, telecommunications, or power electronics.
• Ability to clearly communicate complex concepts in writing.
• Attention to detail when reviewing equations and circuit logs.

Responsibilities

• Design challenging electrical engineering problems to test AI reasoning.
• Author step-by-step solutions that set benchmarks for AI learning.
• Audit AI outputs, including circuit diagrams and proofs, for accuracy and safety.
• Provide structured feedback to improve model performance on engineering tasks.
• Work asynchronously with flexible scheduling.

Skills

Electrical engineering fundamentals

VLSI

Control systems

Signal processing

Power electronics

Written communication

Independent work

Education

Master's degree in Electrical Engineering

PhD in Electrical Engineering or related field

Tools

Engineering simulation tools

Job description

Electrical Engineering Expert (AI Training)

We're looking for experienced electrical engineers to help train and evaluate cutting-edge AI models. Your domain expertise 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 technical knowledge has real impact on the next generation of AI.

About The Role

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

What You'll Do

• Design challenging problems — Create advanced electrical engineering scenarios across domains like circuit analysis, power systems, electromagnetics, and signal processing to rigorously test AI reasoning
• Author gold-standard solutions — Write detailed, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
• Audit AI outputs — Review and evaluate AI-generated circuit diagrams, mathematical proofs, and technical explanations for accuracy, safety, and compliance with engineering standards (e.g., IEEE, NEC)
• Improve AI reasoning — Identify logical flaws in AI-generated responses and provide structured, actionable feedback that sharpens model performance on engineering tasks
• Work on your schedule — Complete assignments asynchronously, with full flexibility over when and how much you work

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 areas: VLSI, control systems, telecommunications, signal processing, or power electronics
• Able to communicate complex technical concepts clearly and precisely in writing
• High attention to detail when reviewing equations, circuit logic, and engineering documentation
• Self-motivated and comfortable working independently
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality review, or evaluation systems
• Familiarity with embedded systems, robotics, or engineering simulation tools
• Exposure to large language models or AI research workflows

Why Join Us

• Work on genuinely cutting-edge AI projects with top research labs
• Fully remote and async — work from anywhere, on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Gain rare insight into how advanced AI models are trained and evaluated
• Potential for ongoing work and contract extension