Electrical Engineering

Alignerr Corp.; Sheffield (TX); Remote; USD 55,000 - 138,000; Full time

Job summary

Alignerr is seeking an Electrical Engineering Expert for AI training. The role focuses on circuit analysis, embedded systems, and rigorous evaluation of AI-driven engineering tasks. This remote position emphasizes independent, flexible work and collaboration with leading AI labs.

The candidate will craft advanced technical challenges, author gold-standard solutions, and audit AI outputs to ensure accuracy and safety in engineering reasoning.

Qualifications

• Holds or is pursuing a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline.

Responsibilities

• Design complex engineering problems across circuit analysis, power systems, signal processing, electromagnetics, and control systems to stress-test AI performance.
• Author ground-truth solutions with rigorous, step-by-step explanations that serve as gold standards for AI learning and benchmarking.
• Audit AI outputs, evaluating AI-generated code, circuit diagrams, and proofs for technical accuracy, safety, and standards compliance (IEEE, NEC, etc.).
• Refine AI reasoning by identifying gaps in AI-generated engineering reasoning and providing structured feedback to improve model performance.
• Work asynchronously and complete assignments independently on a schedule that suits you.

Skills

VLSI

Control systems

Telecommunications

Power electronics

Signal processing

Embedded systems

Education

Master's or PhD in Electrical Engineering or related

Job description

Electrical Engineering Expert (AI Training)

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models - and we need electrical engineers to make it happen. Your deep domain knowledge will directly shape how AI reasons through complex engineering problems, from circuit analysis to embedded systems.

This is a unique opportunity to contribute to cutting-edge AI development without leaving your home. Work on your own schedule, engage with intellectually stimulating problems, and make a lasting impact on the next generation of AI.

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

What You'll Do

• Design Complex Engineering Problems - Craft advanced technical challenges across circuit analysis, power systems, signal processing, electromagnetics, and control systems to stress-test AI performance
• Author Ground-Truth Solutions - Write rigorous, step-by-step solutions that serve as the gold standard for AI learning and benchmarking
• Audit AI Outputs - Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and compliance with industry standards (IEEE, NEC, etc.)
• Refine AI Reasoning - Identify logical gaps and flaws in AI-generated engineering reasoning, then provide structured feedback to improve model performance
• Work Asynchronously - Complete assignments independently on a schedule that works for you

Who You Are

• Holds or is pursuing a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline
• Strong foundational expertise in one or more core domains: VLSI, control systems, telecommunications, power electronics, signal processing, or embedded systems
• Able to communicate complex technical concepts clearly and precisely in writing
• Highly detail-oriented when reviewing equations, circuit logic, and technical documentation
• Self-motivated and comfortable working independently in a remote environment
• No prior AI experience required - your engineering expertise is what matters

Nice to Have

• Experience with data annotation, technical writing, or evaluation systems
• Familiarity with simulation tools (MATLAB, SPICE, etc.)
• Background in standards compliance or technical auditing

Why Join Us

• Work on some of the most intellectually challenging problems in AI today
• Fully remote and flexible - set your own hours and workload
• Collaborate with a global network of domain experts and researchers
• Gain rare, behind-the-scenes exposure to how frontier AI models are trained
• Freelance autonomy with the potential for ongoing, extended work