Electrical Engineering

Alignerr Corp.; Boston (MA); Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Job summary

Alignerr is seeking an Electrical Engineering Expert to stress-test AI language models on complex engineering problems. You will craft tests across circuit analysis, power systems, and signal processing, and review AI outputs for accuracy and reliability.

This fully remote hourly contract offers flexible scheduling, with 10–40 hours per week. No strict on-site requirements, and you’ll collaborate with leading AI research labs as part of cutting-edge evaluation work.

Qualifications

• Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline.
• Strong foundations in one or more core areas: VLSI, control systems, power electronics, telecommunications, signal processing, or embedded systems.
• Effective written communication of complex technical concepts.
• Detail-oriented with a knack for spotting errors in equations and diagrams.

Responsibilities

• Design challenging electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, VLSI and control systems.
• Author precise, step-by-step solutions that serve as benchmarks for AI learning.
• Audit AI-generated code, circuit diagrams, and proofs for correctness and safety.
• Provide structured feedback to help AI models reason more like engineers.

Skills

VLSI

Control systems

Power electronics

Telecommunications

Signal processing

Embedded systems

Education

Master's or PhD in Electrical Engineering or related

Tools

MATLAB

SPICE

Job description

Electrical Engineering Expert (AI Training)

About The Role

We're partnering with the world's leading AI research labs to build smarter, more reliable AI — and we need electrical engineers to make it happen. As an Electrical Engineering Expert, you'll stress-test cutting-edge language models on real engineering problems, expose their reasoning gaps, and help shape how AI understands and applies complex technical knowledge.

This is a flexible, fully remote contract role where your domain expertise directly influences the next generation of AI systems.

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

What You'll Do

• Design Challenging Problems — Craft advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, VLSI, and control systems to rigorously test AI performance
• Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
• Audit Technical Accuracy — Review AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (e.g., IEEE, NEC)
• Sharpen AI Reasoning — Identify logical flaws and gaps in AI-generated engineering reasoning, then provide structured feedback to help models think more like real engineers

Who You Are

• Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline
• Strong foundational expertise in one or more core areas: VLSI, control systems, power electronics, telecommunications, signal processing, or embedded systems
• Able to communicate complex technical concepts clearly and precisely in writing
• Detail-oriented — you catch errors in equations, circuit logic, and technical documentation that others miss
• Self-motivated and comfortable working independently on an async, flexible schedule
• No prior AI experience required

Nice to Have

• Experience with data annotation, technical content review, or evaluation systems
• Familiarity with engineering simulation tools (MATLAB, SPICE, etc.)
• Background in applied research or technical writing

Why Join Us

• Work on cutting-edge AI projects alongside top-tier research labs
• Fully remote and flexible — set your own hours, work from anywhere
• Freelance autonomy: no micromanagement, no commute, no rigid schedule
• Contribute to meaningful work that shapes how AI understands engineering
• Potential for ongoing work and contract extension