Remote AI Trainer for Embedded Systems & Circuits

DataAnnotation; Portland (OR); Remote; USD 55,000 - 172,000; Full time

Benefits offered by this job

Flexible schedule

Remote work

Project-based work

Job summary

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring the judgment you have built over years of designing, debugging, and shipping hardware.

You will design challenging engineering problems, run them through frontier AI models, compare versions, critique model-generated derivations, and clearly document the reasoning behind your calls. Flexible, remote, and project-based work.

Qualifications

• 2+ years of industry experience in circuit or electronics engineering.
• Background in electrical engineering, electronics engineering, or a closely related discipline.
• Bachelor’s degree preferred but not required.

Responsibilities

• Design challenging, realistic engineering problems from your practice (circuits, control loops, power stages).
• Run problems through frontier AI models and judge outputs against professional standards.
• Compare two model versions on identical prompts and call which performed better and where they fell short.
• Critique model-generated derivations, schematics, component selections, and calculations, and write the reasoning behind your call.
• Flag concrete failures with evidence: wrong assumptions, sign and unit errors, unphysical results, invalid topologies.

Skills

Circuit design

Electrical engineering

English fluency

AI tools familiarity

Problem solving

Education

Bachelor's degree (preferred)

Job description

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring the judgment you have built over years of designing, debugging, and shipping hardware.

You will design challenging engineering problems, run them through frontier AI models, compare versions, critique model-generated derivations, and clearly document the reasoning behind your calls. Flexible, remote, and project-based work.