Remote Electrical Engineer for AI Model Training

Alignerr Corp.; Atlanta (GA); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking an Electrical Engineering Expert for AI training. This fully remote hourly contract role focuses on designing advanced engineering scenarios and creating precise, step-by-step ground-truth solutions to benchmark AI performance.

You will audit AI outputs for accuracy and safety, refine model reasoning, and contribute to independent, asynchronous work with flexible hours. A master's or PhD in EE or related field is required.

Qualifications

• Master's or PhD in Electrical Engineering or closely related field.
• Strong foundation in VLSI, control systems, telecommunications, power electronics, signal processing, or embedded systems.
• Ability to clearly communicate complex technical concepts in writing.
• Self-motivated and capable of independent work.
• No prior AI experience required.

Responsibilities

• Design challenging problems for AI training across domains such as circuit analysis, power systems, electromagnetics, signal processing, and embedded systems.
• Author ground-truth solutions with precise, step-by-step explanations for benchmarks.
• Audit AI outputs (code, diagrams, proofs) for correctness, safety and standards compliance (IEEE, NEC).
• Identify gaps in AI reasoning and provide structured feedback to improve models.
• Work asynchronously and manage tasks on a flexible schedule.

Skills

VLSI

Control systems

Telecommunications

Power electronics

Signal processing

Embedded systems

Written communication

Independent work

Education

Master's or PhD in Electrical Engineering

Tools

MATLAB

SPICE

Job description

Alignerr is seeking an Electrical Engineering Expert for AI training. This fully remote hourly contract role focuses on designing advanced engineering scenarios and creating precise, step-by-step ground-truth solutions to benchmark AI performance.

You will audit AI outputs for accuracy and safety, refine model reasoning, and contribute to independent, asynchronous work with flexible hours. A master's or PhD in EE or related field is required.