AI Evaluation Engineer for Hardware & Circuits (Remote)

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

Benefits offered by this job

Flexible work

Remote work

Project-based earnings

Job summary

DataAnnotation is looking for an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring the judgment you have already built over years of designing, debugging, and shipping hardware.

We bring engineering problems the models cannot yet solve on their own. This is a new and growing area for our company, focused on teaching AI to reason correctly about circuits, systems, and physical constraints.

Qualifications

• 2+ years of industry experience in circuit or electronics engineering.
• Strong command of circuit analysis and design tradeoffs, and the ability to defend component-level and system-level decisions.
• Fluent English, native or bilingual level.

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

Electrical engineering

Power engineering

Systems engineering

English fluency

AI tools familiarity

Education

Bachelor's degree in Electrical Engineering

Tools

Circuit simulation tools

AI tooling familiarity

Job description

DataAnnotation is looking for an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring the judgment you have already built over years of designing, debugging, and shipping hardware.

We bring engineering problems the models cannot yet solve on their own. This is a new and growing area for our company, focused on teaching AI to reason correctly about circuits, systems, and physical constraints.