Embedded Systems AI Trainer: Evaluate & Shape Models

DataAnnotation; Pasadena (CA); Remote; USD 55,000 - 172,000; Full time

Job summary

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You will leverage years of hardware design and debugging to train AI tools to reason correctly about circuits, systems, and physical constraints.

Your expertise will guide the next generation of engineering tools, with a role spanning problem design, model evaluation, and critical analysis of 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, 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 current, in-progress, or completed Bachelor’s is preferred but not required.

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 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.

Job description

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You will leverage years of hardware design and debugging to train AI tools to reason correctly about circuits, systems, and physical constraints.

Your expertise will guide the next generation of engineering tools, with a role spanning problem design, model evaluation, and critical analysis of model outputs.