Remote Electronics Engineer & AI Trainer

DataAnnotation

Madison (AL)

Remote

USD 55,000 - 172,000

Full time

11 hours ago
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Benefits offered by this job

Flexible schedule
Remote work
Project-based work

Job summary

DataAnnotation is seeking an experienced Electrical Engineer to help teach AI to reason about circuits, systems, and physical constraints. You will rely on your engineering judgment developed from years of hardware design, debugging, and shipping high-quality hardware.

Responsibilities include designing realistic engineering problems, running them through frontier AI models, and critically evaluating model outputs.

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.
  • The ability to defend component-level and system-level decisions.

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 professional standards.
  • 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.

Skills

Circuit analysis
Design tradeoffs
AI tools

Education

Bachelor's degree

Job description

DataAnnotation is seeking an experienced Electrical Engineer to help teach AI to reason about circuits, systems, and physical constraints. You will rely on your engineering judgment developed from years of hardware design, debugging, and shipping high-quality hardware.

Responsibilities include designing realistic engineering problems, running them through frontier AI models, and critically evaluating model outputs.

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