Remote Hardware Engineer for AI-Driven Circuit Design

DataAnnotation; Fort Myers (FL); Remote; USD 55,000 - 172,000; Full time

Job summary

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring your judgment from years designing, debugging, and shipping hardware while we provide engineering problems for the models to solve.

You’ll design realistic challenges, run them through AI models, compare versions, critique derivations, and flag failures with clear evidence.

Qualifications

• Fluency in English (native or bilingual level).
• 2+ years of industry experience in circuit or electronics engineering.
• Background in electrical engineering, electronics engineering, or a closely related discipline.
• Strong command of circuit analysis and design tradeoffs, and ability to defend component- and system-level decisions.
• Ability to articulate why an answer is wrong, not only that it is.
• Working comfort with AI tools, or the ability to pick them up quickly.

Responsibilities

• Design challenging, realistic engineering problems from your own practice: a circuit to specify, a control loop to stabilize, a power stage to size.
• Run those problems through frontier AI models and judge the output against your professional standard.
• Compare two model versions on identical prompts and call which performed better, and where each 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, fabricated datasheet values, or off-brief interpretation.

Skills

English fluency

Circuit/ electronics experience

Education

Bachelor's in Electrical Engineering

Job description

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring your judgment from years designing, debugging, and shipping hardware while we provide engineering problems for the models to solve.

You’ll design realistic challenges, run them through AI models, compare versions, critique derivations, and flag failures with clear evidence.