Remote Hardware Engineer — AI Reasoning for Circuits

DataAnnotation; Round Rock (TX); Remote; USD 55,000 - 172,000; Full time

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

• 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 the ability to defend component-level and system-level decisions.
• The 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.
• A current, in-progress, or completed Bachelor’s is preferred but not required.

Responsibilities

• Design challenging, realistic engineering problems from your own practice.
• 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

Circuit analysis

Design tradeoffs

AI tools familiarity

Communication

Education

Bachelor’s degree in Electrical Engineering

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.