Electrical Engineering

Alignerr; Auckland; Remote; NZD 55,000 - 124,000; Part time

Benefits offered by this job

Remote work

Flexible hours

Contract-based opportunities

Job summary

Alignerr is seeking an Electrical Engineering Expert for AI training. The role is a fully remote hourly contract with 10–40 hours per week, allowing you to shape how AI reasons about electrical engineering challenges from circuit analysis to signal processing.

You will design problems, craft gold-standard solutions, and audit AI outputs for technical accuracy, contributing to ongoing research collaborations and flexible project work.

Qualifications

• Pursuing or holding a Master’s or PhD in Electrical Engineering or closely related field.
• Strong foundational expertise in one or more core domains: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing.
• Able to communicate highly technical concepts clearly in written form.
• Detail-oriented with precision when working with mathematical equations and circuit logic.

Responsibilities

• Design challenging electrical engineering problems across domains like circuit analysis and power systems to test AI performance.
• Author precise, step-by-step technical solutions that serve as benchmarks for AI learning.
• Audit AI-generated circuit diagrams, proofs, and code for accuracy and safety.
• Refine AI reasoning by providing structured feedback to improve model performance.
• Work asynchronously with flexible, remote scheduling.

Skills

VLSI

Control systems

Power electronics

Signal processing

Embedded systems

Education

Master’s or PhD in Electrical Engineering

Tools

MATLAB

SPICE

IEEE/NEC standards

Job description

Electrical Engineering Expert (AI Training)

We're looking for experienced electrical engineers to help train and evaluate cutting-edge AI models. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to signal processing to power systems.

This is a fully remote, flexible contract role where your expertise becomes the benchmark for AI intelligence.

• 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, signal processing, electromagnetics, and control systems to rigorously test AI performance
• Author Gold-Standard Solutions — Develop precise, step-by-step technical solutions that serve as benchmarks for AI learning and reasoning
• Audit Technical Accuracy — Evaluate AI-generated circuit diagrams, mathematical proofs, and code for correctness, safety, and adherence to engineering standards (IEEE, NEC, and others)
• Refine AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured feedback that improves model performance
• Work Asynchronously — Complete assignments on your own schedule with full flexibility

Who You Are

• Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
• Strong foundational expertise in one or more core domains: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing
• Able to communicate highly technical concepts clearly and concisely in written form
• Detail-oriented with a high level of precision when working with mathematical equations, circuit logic, and technical documentation
• No prior AI experience required — your engineering knowledge is what matters

Nice to Have

• Experience with data annotation, data quality, or AI evaluation workflows
• Familiarity with simulation tools (MATLAB, SPICE, etc.)
• Background in writing technical documentation or educational content

Why Join Us

• Work on some of the most advanced AI projects in the world alongside leading research labs
• Fully remote and flexible — set your own hours and workload (10–40 hrs/week)
• Freelance perks: autonomy, variety, and global collaboration
• Directly influence how AI understands and applies electrical engineering knowledge
• Potential for ongoing work and contract extension