Electrical Engineering

Alignerr Corp.

Birmingham

Remote

GBP 42,000 - 83,000

Part time

2 days ago
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Benefits offered by this job

Fully remote
Flexible schedule
Global collaboration

Job summary

Alignerr Corp. is seeking an Electrical Engineering Expert for AI training. The role focuses on designing challenging problems, authoring gold-standard solutions, auditing accuracy, and improving AI reasoning in electrical engineering domains.

The position is remote, hourly contracted, with 10–40 hours per week and flexibility to work asynchronously. Advanced degrees are required, and familiarity with MATLAB or SPICE is a plus.

Qualifications

  • Requires advanced degree in electrical engineering or closely related field.
  • Strong understanding of electrical engineering fundamentals and AI training concepts.
  • Experience with evaluating engineering problems and mathematical proofs is a plus.

Responsibilities

  • Design complex, domain-specific electrical engineering challenges for AI training.
  • Author ground-truth solutions and benchmark responses for learning models.
  • Audit AI-generated engineering outputs for accuracy and safety against standards (IEEE/NEC).
  • Improve AI reasoning by identifying gaps and providing actionable feedback.

Skills

Electrical engineering
AI training
Circuit analysis
Signal processing
IEEE standards

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 electrical engineering experts to help train and improve cutting-edge AI models. Your deep technical knowledge will directly shape how AI understands and solves complex engineering problems - from circuit analysis to power systems to signal processing. This is a unique opportunity to work at the intersection of engineering and artificial intelligence, contributing to research that pushes the boundaries of what AI can do in technical domains.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10-40 hours/week
What You'll Do
  • Design Complex Problems - Develop challenging, domain-specific electrical engineering problems across areas like circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance
  • Author Ground-Truth Solutions - Write detailed, step-by-step technical solutions and benchmark responses that AI models use as a gold standard for learning
  • Audit Technical Accuracy - Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (e.g., IEEE, NEC)
  • Improve AI Reasoning - Identify logical gaps or flaws in AI-generated engineering reasoning and provide structured, actionable feedback to help models think more accurately
Who You Are
  • Currently pursuing or have completed a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
  • Strong foundational knowledge in one or more core areas: VLSI, control systems, telecommunications, power electronics, or embedded systems
  • Able to communicate complex technical concepts clearly and precisely in written form
  • Highly detail-oriented when reviewing mathematical equations, circuit logic, and technical documentation
  • Self-motivated and comfortable working independently on an asynchronous schedule
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, data quality, or AI evaluation workflows
  • Familiarity with simulation tools (e.g., MATLAB, SPICE, or similar)
  • Background in technical writing or academic publishing
Why Join Us
  • Work on frontier AI projects in partnership with leading AI research labs
  • Fully remote and flexible - work on your own schedule, wherever you are
  • Freelance perks: autonomy, variety, and global collaboration
  • Gain rare, hands-on exposure to how advanced large language models (LLMs) are trained and evaluated
  • Contribute to meaningful work that advances AI's ability to reason through real engineering challenges
  • Potential for ongoing work and contract extension
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