Embedded Systems AI Trainer: Hardware Reasoning

DataAnnotation; Redmond (WA); Remote; USD 55,000 - 172,000; Full time

Benefits offered by this job

Flexible remote work

Project-based work

Remote collaboration

Job summary

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

We bring engineering problems the models cannot yet solve on their own. This is a new and growing area for our company, focused on teaching AI to reason correctly about circuits, systems, and physical constraints.

Qualifications

• 2+ years of industry experience in circuit or electronics engineering.
• Bachelor’s in electrical engineering or closely related discipline preferred.
• Strong command of circuit analysis and design tradeoffs.
• Ability to articulate why an answer is wrong, not only that it is.
• Experience with AI tools or quick learning ability.

Responsibilities

• Design challenging, realistic engineering problems for frontier AI models.
• Run problems through frontier AI models and judge outputs against professional standards.
• Compare two model versions on identical prompts and assess performance and gaps.
• 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, fabricated datasheet values, or off-brief interpretation.

Skills

Circuit/Electronics engineering

English fluency

Analytical reasoning

Defend design decisions

AI tools familiarity

Education

Bachelor's in Electrical Engineering (preferred)

Tools

Circuit design tools

AI tooling experience

Job description

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

We bring engineering problems the models cannot yet solve on their own. This is a new and growing area for our company, focused on teaching AI to reason correctly about circuits, systems, and physical constraints.