Electrical Engineering

Alignerr Corp.; Birmingham; Remote; GBP 55,000 - 117,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Global collaboration

Job summary

Alignerr Corp is seeking an Electrical Engineering Expert (AI Training) for a remote, hourly-contract role. You will craft challenging EE problems, write gold-standard solutions, and audit AI outputs to ensure technical accuracy across circuits, power systems, and signal processing.

Ideal candidates hold a Master’s or PhD in EE or a closely related field and can work asynchronously on a flexible schedule. No prior AI experience required but beneficial.

Qualifications

• Master's or PhD in Electrical Engineering or related field.
• Strong knowledge in VLSI, control systems, telecommunications, power electronics, or embedded systems.
• Ability to clearly communicate technical concepts in writing.
• Detail-oriented when reviewing equations, circuits, and docs.
• Self-motivated with ability to work asynchronously.
• No prior AI experience required.

Responsibilities

• Design complex, domain-specific electrical engineering problems to test AI performance.
• Author ground-truth solutions with detailed, step-by-step reasoning.
• Audit AI-generated circuits, code, and proofs for correctness and safety.
• Identify gaps in AI reasoning and provide actionable feedback.

Skills

Strong written communication

Detail-oriented

Independent work

Asynchronous schedule

Education

Master's or PhD in Electrical Engineering or related

Tools

MATLAB

SPICE

Job description

Electrical Engineering Expert (AI Training)

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.

About The Role

• 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