About the role

Electronics engineer training and evaluating frontier AI models on realistic circuit and system-level problems. Creating technical assignments and critiquing AI-generated engineering reasoning.

Responsibilities

Train and evaluate frontier AI models on realistic circuit- and system-level engineering problems
Design challenging electronics engineering problems based on practical experience
Create problems involving circuit specification, signal-chain debugging, analog circuit analysis, and power-stage sizing
Author supporting files including schematics, simulation setups, datasheets, measurement data, and design calculations
Run engineering problems through frontier AI models and evaluate outputs against professional engineering standards
Compare model versions using identical prompts and document their strengths and limitations
Critique model-generated derivations, component selections, topologies, and calculations with detailed written rationale
Identify and document technical failures, including incorrect assumptions, sign and unit errors, unphysical results, invalid topologies, fabricated datasheet values, and misread plots
Apply expertise across analog circuits, electronic devices and materials, RF, photonics, and signal processing
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
Ability to defend component-level decisions
Fluency with SPICE, schematic capture, PCB tools, lab instruments, MATLAB, and Python
Strong written communication and ability to explain precisely why a technical answer is incorrect
Professional or native-level English
General familiarity with AI and LLM tools, or 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

Fully remote, project-based contract work with the ability to choose projects and work times
Compensation of $40–$120 USD per hour
Bonus rates available on some projects
Access to Claude and ChatGPT provided, with no personal subscriptions required
Flexible multi-day task timers
No shift work
No weekly maximum after the 10-hour minimum