Remote AI Training Engineer for Electronics & CAD

Brunel; United States; Remote; USD 55,000 - 172,000; Part time

Job summary

Brunel is partnering with DataAnnotation to connect experienced Electrical and Electronics Engineers with an innovative AI training program. This opportunity brings hands-on engineering expertise to help evaluate and improve how AI models handle real circuit work.

Selected experts will contribute knowledge to the development of high-quality, technically accurate AI systems. This opportunity is designed for practicing engineers who design, simulate, and debug real hardware across analog, RF and

Qualifications

• Fluency in English (native or bilingual).
• 2+ years of industry circuit/electronics engineering experience.
• Background in electrical/electronics engineering or related field.
• Strong circuit analysis and design tradeoffs; defend decisions.
• Able to explain why an answer is wrong, not just that it is.
• Comfort with AI tools or quick learning ability.
• Bachelor’s degree current or completed preferred but not required.

Responsibilities

• Design challenging, realistic engineering problems from your practice.
• Run problems through frontier AI models and judge output against professional standards.
• Compare two model versions on identical prompts and judge performance and shortcomings.
• Critique model-generated derivations, schematics, component choices and calculations, with reasoning.
• Flag concrete failures with evidence: wrong assumptions, sign/unit errors, unphysical results.
• Contribute across analog, RF and mixed-signal circuits, electromagnetics and antennas, control and systems.

Skills

English fluency

Industry experience

Circuit analysis

AI tools familiarity

Education

Bachelor’s degree preferred

Job description

Brunel is partnering with DataAnnotation to connect experienced Electrical and Electronics Engineers with an innovative AI training program. This opportunity brings hands-on engineering expertise to help evaluate and improve how AI models handle real circuit work.

Selected experts will contribute knowledge to the development of high-quality, technically accurate AI systems. This opportunity is designed for practicing engineers who design, simulate, and debug real hardware across analog, RF and