Electronics Engineer & AI Trainer — Shape Next‑Gen Tools

DataAnnotation

Milwaukee (WI)

Remote

USD 55,000 - 172,000

Full time

2 days ago
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Benefits offered by this job

Flexible schedule
Remote work

Job summary

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work, using your design, debugging, and shipping experience. This role focuses on developing realistic engineering problems, running them through AI models, and judging results against professional standards.

You will also compare model versions, critique derivations and calculations, and flag concrete failures with rigorous 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.

Responsibilities

  • Design challenging, realistic engineering problems from your practice.
  • Run problems through frontier AI models and judge outputs against professional standards.
  • Compare two model versions on identical prompts and assess performance.
  • Critique model-generated derivations, schematics, component selections, and calculations, with written rationale.
  • Flag concrete failures with evidence: wrong assumptions, sign and unit errors, unphysical results, invalid topologies.

Skills

Circuit analysis
Analog design
RF/mixed-signal
Power systems
AI tools

Education

Bachelor’s degree in EE

Job description

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work, using your design, debugging, and shipping experience. This role focuses on developing realistic engineering problems, running them through AI models, and judging results against professional standards.

You will also compare model versions, critique derivations and calculations, and flag concrete failures with rigorous evidence.

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