Remote Electrical Engineer - AI Reasoning Trainer

DataAnnotation; Boston (MA); 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, drawing on years of hardware design and debugging experience. You will shape the next generation of engineering tools by applying rigorous judgment and a clear written rationale.

The role focuses on designing realistic engineering challenges, running them through AI models, and critically evaluating outputs against professional standards.

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 closely related discipline.
• Strong command of circuit analysis and design tradeoffs; defend component- 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 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 analysis

AI tools familiarity

Written reasoning

English fluency

Education

Bachelor's degree preferred

Job description

DataAnnotation is seeking an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work, drawing on years of hardware design and debugging experience. You will shape the next generation of engineering tools by applying rigorous judgment and a clear written rationale.

The role focuses on designing realistic engineering challenges, running them through AI models, and critically evaluating outputs against professional standards.