What the work is
Role Overview
Contributors create the native engineering files and reference solutions behind each task, run the relevant analyses, and define checks that distinguish a working design from a plausible but incorrect result. Tasks may follow a US standards track (NEC / NFPA 70, NESC, IEEE) or an international track (IEC), as appropriate to the engineering problem.
Key Responsibilities
- Build realistic tasks in one or more specialties: circuit and PCB design, power electronics, power systems, embedded systems, or industrial controls.
- Create and debug schematics, SPICE netlists, component models, control logic, and other native technical artifacts needed to reproduce a task.
- Configure operating points, initial conditions, parameter sweeps, transient or steady-state analyses, and fault cases. Assess convergence, model assumptions, and the physical validity of results.
- Develop reference solutions and verification code that checks outputs such as voltage, current, efficiency, losses, timing, stability, protection behavior, and design constraints, with explicit units and tolerances.
- Package model files, dependencies, scripts, and results so another engineer can reproduce the work. Validate checks against both correct and deliberately incorrect cases.
- Review AI-generated engineering artifacts and diagnose failures in the design, simulation setup, or verifier. Use coding agents where helpful while independently checking their output.
Who gets hired
- 5+ years of professional electrical engineering experience, with direct ownership of circuit designs, power systems, controls, or product validation.
- Recent hands-on experience with relevant tools such as KiCad, Altium, Cadence, SPICE/ngspice, MATLAB/Simulink, or equivalent engineering software. Expertise in every listed tool is not required.
- Ability to write, inspect, and debug Python or comparable scripts for simulation automation, data analysis, and numerical checks.
- Sound judgment about component behavior, numerical accuracy, safety margins, and applicable standards; ability to distinguish simulation predictions from measured laboratory evidence.
- Clear technical writing and a disciplined approach to documenting assumptions, reproducibility, and failure modes.
- A professional engineering credential and experience with test automation, engineering training, or evaluation design are a plus.
Compensation
- Writers: $70–$80/hour.
- Reviewers: $90/hour.
The platform posted this on 5 Nov 2026.