Remote AI Trainer for Embedded Systems & Hardware

DataAnnotation

Pleasanton (CA)

Remote

USD 55,000 - 172,000

Full time

4 hours ago
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Job summary

DataAnnotation is seeking an experienced Electrical Engineer to guide frontier AI models in understanding real electrical and electronics engineering work. Your judgment and written rationale will shape next-gen engineering tools and methodologies.

You will design challenging problems, evaluate model outputs, and critique derivations across analog, RF, control, and power domains, while maintaining rigorous reasoning and clear evidence for decisions.

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 Bachelor’s is preferred but not required.

Responsibilities

  • Design challenging, realistic engineering problems from your 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

Circuit analysis
Design tradeoffs
AI tools familiarity
English fluency

Education

Bachelor’s degree in EE or related

Tools

AI tools

Job description

DataAnnotation is seeking an experienced Electrical Engineer to guide frontier AI models in understanding real electrical and electronics engineering work. Your judgment and written rationale will shape next-gen engineering tools and methodologies.

You will design challenging problems, evaluate model outputs, and critique derivations across analog, RF, control, and power domains, while maintaining rigorous reasoning and clear evidence for decisions.

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