Electrical Engineering

Alignerr Corp.

United States

Remote

GBP 83,000 - 138,000

Full time

8 hours ago
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Job summary

Alignerr is seeking an Electrical Engineering Expert to help train and improve AI models. This remote hourly contract role emphasizes deep EE knowledge across circuit analysis, power systems, and signal processing, with flexible hours (10–40/week).

You will design problems, author solutions, and audit AI outputs to ensure technical accuracy and safety. Ideal candidates hold a Master’s or PhD in EE or related fields and can communicate complex topics clearly in writing, with experience in MATLAB

Qualifications

  • Master's or PhD in Electrical Engineering or closely related field.
  • Strong foundations in EE domains and ability to explain complex topics in writing.
  • Remote, self-directed work with strong time management.

Responsibilities

  • Design challenging problems across EE domains to test AI performance.
  • Write gold-standard, step-by-step technical solutions for benchmarking.
  • Audit AI outputs for accuracy, safety and adherence to standards (IEEE, NEC).
  • Identify logical flaws in AI reasoning and provide feedback for improvement.
  • Work independently with flexible hours and asynchronous collaboration.

Skills

VLSI
Control systems
Telecommunications
Power electronics
Signal processing
Technical writing

Education

Master's degree in Electrical Engineering
PhD in Electrical Engineering or closely related field

Tools

MATLAB
SPICE

Job description

Electrical Engineering Expert — AI Training

We're looking for experienced Electrical Engineers to help train and improve cutting‑edge AI models. Your deep domain 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 has real impact on the next generation of AI technology.

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 problems across domains like circuit analysis, power systems, signal processing, electromagnetics, and embedded 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 AI Outputs — Review and evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (IEEE, NEC, etc.)
  • Sharpen AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured feedback to improve model performance
  • Work Independently — Manage your own schedule and contribute asynchronously on your own terms
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 EE domains: VLSI, control systems, telecommunications, power electronics, or signal processing
  • Able to communicate complex technical concepts clearly and concisely in writing
  • High attention to detail when working with mathematical equations, circuit logic, and technical documentation
  • Self-motivated and comfortable working independently in a remote environment
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, data quality evaluation, or AI evaluation workflows
  • Familiarity with simulation tools (MATLAB, SPICE, etc.)
  • Background in embedded systems, robotics, or engineering simulations
Why Join Us
  • Work on genuinely cutting‑edge AI projects alongside top research labs
  • Fully remote and flexible — set your own hours and workload
  • Freelance autonomy with meaningful, intellectually stimulating work
  • Gain firsthand exposure to how advanced large language models are built and trained
  • Potential for ongoing work and contract extension
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