Electronics Engineer - AI Trainer (Remote)

The Electronics Engineer - AI Trainer will help train and evaluate frontier AI models on realistic circuit- and system-level engineering problems. This contract role requires at least 3 years of electronics engineering or circuit design experience, strong expertise in circuit analysis and engineering tools, excellent written communication, and the ability to assess technical reasoning against professional standards.

• →Design challenging, realistic electronics engineering problems based on practical experience, including circuit specification, signal-chain debugging, analog circuit analysis, and power-stage sizing.
• →Author professional supporting files for assignments, including schematics, simulation setups, datasheets, measurement data, and design calculations.
• →Run engineering problems through frontier AI models and evaluate the outputs against professional engineering standards.
• →Compare model versions using identical prompts, determine which model performs better, and document the strengths and limitations of each version.
• →Critique model-generated derivations, component selections, topologies, and calculations with detailed written rationale.
• →Identify and document concrete technical failures, including incorrect assumptions, sign and unit errors, unphysical results, invalid topologies, fabricated datasheet values, and misread plots.
• →Apply domain expertise across analog circuits, electronic devices and materials, RF, photonics, and signal processing.
• →Use engineering judgment to distinguish technically sound reasoning from plausible but incorrect AI-generated answers.

• At least 3 years of industry experience in electronics engineering, circuit design, or related fields.
• Current or recent experience performing technical work as an individual contributor.
• In-progress Bachelor's degree or higher in electronics engineering, electrical engineering, or a closely related discipline.
• Strong command of circuit analysis, electronic devices, and design tradeoffs, with the ability to defend component-level decisions.
• Fluency with simulation and engineering tools, including SPICE, schematic capture, PCB tools, lab instruments, MATLAB, and Python.
• Strong written communication and the ability to explain precisely why a technical answer is incorrect.
• Professional or native-level English.
• General familiarity with AI and LLM tools, or the ability to learn them quickly.
• Location in the United States, Canada, the UK, Australia, Ireland, or New Zealand.
• Availability for at least 10 hours per week.

• Electronics engineering
• Circuit design
• Circuit analysis
• Analog circuits
• Electronic devices
• Electronic devices and materials
• RF
• Photonics
• Signal processing
• Design tradeoffs
• Component-level decision-making
• Circuit debugging
• Power stage sizing
• Datasheet analysis
• Measurement data analysis
• Design calculations
• Model evaluation
• Engineering judgment
• Simulation
• SPICE
• Schematic capture
• PCB tools
• Lab instruments
• MATLAB
• Python
• AI tools
• LLM tools
• Claude
• ChatGPT
• Show less

• Bachelor