Remote AI-Electrical Engineer: Shape Next-Gen Circuits

DataAnnotation

Town of Texas (WI)

Remote

USD 55,000 - 172,000

Full time

17 hours ago
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Job summary

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You will bring years of hands-on hardware design, debugging, and shipping to bear on AI-driven tools and models.

You’ll design challenging problems, run them through AI models, and critique outputs with written rationale, focusing on analog, RF, mixed-signal, and power systems.

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.

Responsibilities

  • Design challenging, realistic engineering problems for frontier AI models (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 assess which performed better and where.
  • Critique model-generated derivations, schematics, component selections, and calculations, with written rationale.
  • Flag concrete failures with evidence (wrong assumptions, sign/units errors, unphysical results, invalid topologies, fabricated datasheet values).

Job description

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You will bring years of hands-on hardware design, debugging, and shipping to bear on AI-driven tools and models.

You’ll design challenging problems, run them through AI models, and critique outputs with written rationale, focusing on analog, RF, mixed-signal, and power systems.

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