Electrical Engineering

Alignerr Corp.; Auckland; Remote; NZD 83,000 - 124,000; Part time

Job summary

Alignerr is seeking an Electrical Engineering Expert to help train and evaluate cutting-edge AI models remotely. You will tackle problems spanning circuit analysis, power systems, and signal processing to shape AI reasoning.

This hourly contract offers 10–40 hours per week with fully flexible scheduling. No AI experience required—your deep electrical engineering knowledge will set the benchmark for AI understanding and safety.

Qualifications

• Master's or PhD in Electrical Engineering or closely related field.
• Deep expertise in one or more core domains: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing.
• Excellent written communication of highly technical concepts.

Responsibilities

• Design challenging electrical engineering problems across domains to test AI performance.
• Author gold-standard technical solutions for AI learning and reasoning.
• Audit AI-generated circuit diagrams, mathematical proofs, and code for correctness, safety, and adherence to engineering standards (IEEE, NEC, and others).
• Refine AI reasoning by identifying logical flaws and providing structured feedback to improve model performance.
• Work asynchronously with flexible scheduling and self-directed assignments.

Skills

VLSI

Control systems

Telecommunications

Power electronics

Embedded systems

Signal processing

Strong written communication

Education

Master's or PhD in Electrical Engineering

Tools

MATLAB

SPICE

Job description

Electrical Engineering Expert (AI Training)

About The Role

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 Masters 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