Remote Electrical Engineer | AI Model Evaluator for Circuits

DataAnnotation; Maine; Remote; USD 55,000 - 172,000; Full time

Job summary

DataAnnotation seeks an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring years of hardware design, debugging, and shipping experience to teach AI to reason about circuits, systems, and physical constraints.

You’ll design challenging problems, run them through AI models, compare versions, critique model-generated work, and justify your judgments with precise reasoning and evidence.

Qualifications

• 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 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 design

Circuit analysis

AI tools

Technical communication

System-level decisions

Education

Bachelor's degree

Job description

DataAnnotation seeks an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring years of hardware design, debugging, and shipping experience to teach AI to reason about circuits, systems, and physical constraints.

You’ll design challenging problems, run them through AI models, compare versions, critique model-generated work, and justify your judgments with precise reasoning and evidence.