AI Trainer: Electrical Engineering

Job summary

Create open-ended engineering tasks based on real circuit and electronics work, and evaluate AI model responses against professional standards. Compare model outputs, develop grading rubrics, and identify technical errors in assumptions, calculations, component choices, datasheet claims, schematics, and plots.

Job details

Brunel is partnering with DataAnnotation to connect experienced Electrical and Electronics Engineers with an innovative AI training program. This opportunity brings together hands-on engineering expertise and artificial intelligence to help evaluate and improve how AI models handle real circuit and electronics work. Selected experts will contribute their knowledge to the development of high-quality, technically accurate AI systems. This opportunity is designed for practicing engineers who currently design, simulate, and debug real hardware, across analog, RF and mixed-signal, power electronics, embedded and controls, signal processing, photonics, and board-level design. Engagement Details Engagement Fully remote, project-based work with a flexible schedule. Around 10 hours per week is the recommended starting point; the project prioritizes engineers who can commit 30–40 hours per week, though part-time is considered. Pay rate $40–$125+ USD/hour, paid via PayPal Location United States, Canada, United Kingdom, Ireland, and Australia/New Zealand First step Skills assessment (1–3 hours) The Work Experts design open-ended tasks drawn from their own engineering practice, such as specifying a circuit, stabilizing a control loop, closing a link budget, sizing a power stage, or debugging a signal chain. Tasks are built from the files a practitioner actually handles (schematics, simulation setups, datasheets, board files, measurement data), run through frontier AI models, and graded against a professional standard. Experts also compare model outputs, write grading rubrics, and flag concrete failures such as wrong assumptions, sign and unit errors, unphysical results, invalid component or topology choices, fabricated datasheet values, and misread schematics or plots. Qualifications & Requirements 2+ years of industry experience in circuit or electronics engineering, currently or recently doing the technical work as an individual contributor. Background in electrical engineering, electronics engineering, or a closely related discipline; Bachelor’s degree or higher (in progress accepted). Hands-on experience matters more than degrees or licenses. Strong command of circuit analysis and design tradeoffs, and the ability to defend component-level and system-level decisions. Fluency in the tools of the field: circuit simulation (SPICE or similar), schematic capture and PCB tools, lab instruments, and MATLAB or Python for engineering analysis. Full professional/native-level written English, with the ability to write a precise, unambiguous technical problem and explain why an answer is wrong, not only that it is. Comfort working independently in a fully remote environment on long-form, self-directed tasks. Strong attention to detail and the judgment to distinguish a well-reasoned engineering answer from a plausible-sounding but incorrect one. General familiarity with AI/LLM tools; user-level familiarity is sufficient.

What you’ll do

Create open-ended engineering tasks based on real circuit and electronics work, and evaluate AI model responses against professional standards. Compare model outputs, develop grading rubrics, and identify technical errors in assumptions, calculations, component choices, datasheet claims, schematics, and plots.

Requirements

Requires at least two years of industry experience in circuit or electronics engineering, with current or recent hands-on individual-contributor work and a degree in electrical engineering, electronics engineering, or a related field (a bachelor's degree or higher, including in-progress study, is accepted). Candidates should be proficient with circuit analysis, simulation and design tools, lab instruments, and MATLAB or Python, and have strong written English, independent-work skills, and familiarity with AI tools.

Listed skills

• Power Electronics · Preferred
• Embedded Systems · Preferred
• PCB Design · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Circuit Analysis
• Circuit Design
• Electronics Engineering
• Analog Design
• RF Design
• Mixed-Signal Design
• Power Electronics
• Embedded Systems
• Control Systems
• Signal Processing
• Photonic Systems
• PCB Design
• SPICE Simulation
• MATLAB
• Python
• Technical Writing

Job areas

• Engineering
• Technology
• Data & Analytics
• Science & Research

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