Remote Electrical Engineer for AI Training & Circuits

Alignerr Corp.; Sheffield (TX); Remote; USD 28,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Job summary

Alignerr is seeking an Electrical Engineering Expert (AI Training) to design and evaluate complex engineering challenges for AI models. This remote role emphasizes independent, schedule-flexible work on high-level EE problems, from circuit analysis to embedded systems.

The candidate should pursue or hold a Master’s/PhD in Electrical Engineering with strong evidence in VLSI, control systems, or signal processing. Prior AI experience is not required, only engineering expertise.

Qualifications

• Pursuing a Master’s or PhD in Electrical Engineering, Electronics or related field.
• Strong foundation in core EE domains and ability to communicate complex concepts in writing.
• Experience with standards compliance or AI-related engineering considered a plus.

Responsibilities

• Design complex engineering problems across circuit analysis, power systems, signal processing, electromagnetics, and control systems.
• Author ground-truth solutions with rigorous, step-by-step reasoning for AI learning.
• Audit AI outputs for technical accuracy, safety, and industry standards compliance.
• Refine AI reasoning by identifying gaps and providing structured feedback.
• Work asynchronously on a flexible schedule.

Skills

VLSI

Control systems

Telecommunications

Power electronics

Signal processing

Embedded systems

Technical writing

Education

Master's or PhD in Electrical Engineering

Related discipline (Electrical Engineering)

Tools

MATLAB

SPICE

Job description

Alignerr is seeking an Electrical Engineering Expert (AI Training) to design and evaluate complex engineering challenges for AI models. This remote role emphasizes independent, schedule-flexible work on high-level EE problems, from circuit analysis to embedded systems.

The candidate should pursue or hold a Master’s/PhD in Electrical Engineering with strong evidence in VLSI, control systems, or signal processing. Prior AI experience is not required, only engineering expertise.