Electrical Engineering AI Trainer - Real-World Circuits

Planet Pharma; San Francisco (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

Planet Pharma is seeking experienced electrical and electronics engineers to evaluate how frontier AI models handle real engineering work, such as specifying a circuit, stabilizing a control loop, closing a link budget, sizing a power stage, and debugging a signal chain.

You will work with realistic professional files, assemble tasks, run them through frontier AI models, and evaluate results against professional standards. The role is remote, long-form, and self-directed.

Qualifications

• 2+ years of industry experience in circuit or electronics engineering.
• Bachelor’s degree or higher preferred; hands-on experience outweighs degrees.
• Strong command of circuit analysis and design tradeoffs.
• Fluency with circuit simulation (SPICE and similar) and schematic/PCB tools.
• Proficient in MATLAB or Python for engineering analysis.

Responsibilities

• Design challenging, realistic engineering problems from your expertise with supporting files (schematics, data, boards).
• Run problems through frontier AI models and evaluate results against professional standards.
• Compare two model versions on identical prompts and document performance differences.
• Critique model-generated derivations, schematics, component choices, simulations, and calculations; write grading rubrics.
• Flag concrete failures with evidence: wrong assumptions, sign errors, unphysical results, misread data.
• Contribute across analog, RF and mixed-signal domains and review tasks built by others.

Skills

Circuit analysis

Engineering judgment

English communication

Education

Bachelor in electrical/electronics engineering

Tools

SPICE

Schematic capture

PCB tools

MATLAB

Python

Job description

Planet Pharma is seeking experienced electrical and electronics engineers to evaluate how frontier AI models handle real engineering work, such as specifying a circuit, stabilizing a control loop, closing a link budget, sizing a power stage, and debugging a signal chain.

You will work with realistic professional files, assemble tasks, run them through frontier AI models, and evaluate results against professional standards. The role is remote, long-form, and self-directed.