Electrical Engineering

Alignerr

Boston (MA)

Remote

USD 83,000 - 124,000

Part time

2 days ago
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Job summary

Alignerr is seeking an Electrical Engineering Expert to stress-test cutting-edge language models on real engineering problems, expose reasoning gaps, and shape how AI applies complex technical knowledge.

This is a flexible, fully remote hourly contract role; 10–40 hours/week with asynchronous work. You will contribute to top AI research labs and help drive rigorous benchmarking of engineering concepts.

Qualifications

  • Pursuing or holding a Master's or PhD in Electrical Engineering or closely related field.
  • Strong expertise in VLSI, control systems, power electronics, or signal processing.
  • Excellent written communication of complex technical concepts.

Responsibilities

  • Design challenging electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, VLSI, and control systems to rigorously test AI performance.
  • Author precise, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation.
  • Audit AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (e.g., IEEE, NEC).
  • Sharpen AI reasoning by identifying gaps and providing structured feedback to help models think more like real engineers.

Skills

VLSI
Control systems
Power electronics
Signal processing
Embedded systems
Technical writing

Education

Master's or PhD in Electrical Engineering

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
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