Electrical Engineering

Alignerr Corp.; Miami (FL); Remote; USD 83,000 - 138,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Global collaboration

Job summary

Alignerr is seeking an Electrical Engineering Expert for AI training to design problems, author solutions, and audit AI outputs across EE domains. This fully remote, hourly contract role offers flexible scheduling with 10–40 hours per week and global collaboration.

Applicants should hold a Master’s or PhD in Electrical Engineering or related fields and demonstrate strong EE expertise in circuits, control systems, and power electronics, with excellent technical communication skills.

Qualifications

• Master's or PhD in Electrical Engineering or closely related field.
• Strong foundational knowledge in EE domains such as circuit analysis, control systems, power electronics, or embedded systems.
• Ability to communicate complex concepts clearly in writing.
• High attention to detail with equations and circuit logic.
• No prior AI or data annotation experience required.

Responsibilities

• Design challenging electrical engineering problems across EE domains to test AI performance.
• Author precise, step-by-step technical solutions as benchmarks for AI learning.
• Audit AI outputs for technical accuracy, safety, and standards compliance (IEEE, NEC, etc.).
• Provide structured feedback to improve AI reasoning and identify gaps.
• Work asynchronously with no fixed hours.

Skills

Master's/PhD in EE

EE domain knowledge

Clear writing

Attention to detail

No AI data annotation experience

Education

Master's degree in Electrical Engineering

PhD in Electrical Engineering

Tools

MATLAB

SPICE

Job description

Electrical Engineering Expert (AI Training)

About The Role

We're looking for electrical engineering professionals to help train and evaluate cutting-edge AI models. Your technical expertise will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems to signal processing.

This is a fully remote, flexible contract role. You set your schedule and work as much or as little as fits your life.

• 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, electromagnetics, signal processing, 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
• Audit AI outputs — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (IEEE, NEC, and others)
• Improve AI reasoning — Identify logical errors and gaps in AI-generated engineering reasoning, then provide structured feedback to guide model improvement
• Work asynchronously — Complete tasks independently on your own schedule with no fixed hours

Who You Are

• Holds or is pursuing 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 embedded systems
• 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
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality review, or technical evaluation systems
• Familiarity with simulation tools (MATLAB, SPICE, etc.)
• Background in applied or research engineering environments

Why Join Us

• Work on frontier AI projects alongside world-leading research labs
• Fully remote and flexible — work whenever and wherever suits you
• Freelance perks: autonomy, variety, and global collaboration
• Gain rare, hands-on insight into how advanced language models are trained and evaluated
• Potential for ongoing work and contract extension