Circuit Design AI Training Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this opportunity. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping specialists discover projects, build a professional profile, and apply in minutes.

As an OpenTrain contractor, you can develop a durable portfolio of AI training work while contributing your electrical engineering expertise to advanced model evaluation.

• Free OpenTrain account and profile creation
• A central place to build and manage your AI training portfolio
• Remote contractor work with flexible scheduling

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists create examples, assess model outputs, and provide reliable reference answers that help AI systems reason more accurately.

In this role, your circuit-design judgment will help evaluate whether AI-generated engineering solutions are electrically sound, supported by valid assumptions, and aligned with stated requirements.

• Work directly on cutting-edge AI development
• Apply professional expertise to model evaluation and verification
• Contribute remotely with a flexible part-time schedule

The Circuit Design AI Training Expert Role

OpenTrain AI is seeking a Circuit Design AI Training Expert to create, solve, validate, and review engineering tasks involving analog, digital, power, mixed-signal, and RF circuits. You will assess whether circuit solutions meet electrical and functional requirements, identify unsupported conclusions in AI-generated work, and develop reproducible reference solutions and automated verification checks.

• Contractor opportunity available worldwide
• Fully remote and part time
• Approximately 15 hours per week
• Flexible hours and days, including weekends if desired
• Compensation of $80-$130 per hour

What You'll Do

You will combine circuit analysis, simulation, automation, and engineering judgment to produce dependable training and evaluation material. The work may span requirements translation, verification, physical behavior, and review of AI-generated solutions.

• Design, analyze, and validate analog, digital, power, mixed-signal, and RF circuit solutions
• Translate electrical requirements into schematics, netlists, models, hardware descriptions, constraints, and simulation inputs
• Run simulation, synthesis, and verification workflows with command-line-accessible tools
• Use Python to generate inputs, automate simulations, perform parameter sweeps, control instruments, and analyze results
• Evaluate voltage, current, power, gain, bandwidth, impedance, noise, timing, stability, and thermal outputs
• Perform corner, tolerance, worst-case, transient, frequency-domain, and Monte Carlo analyses when appropriate
• Compare simulated behavior with analytical calculations and physical measurements
• Diagnose issues involving components, parasitics, layout, power integrity, signal integrity, thermal behavior, interfaces, and manufacturing
• Review AI-generated circuit solutions and create reference answers and verification checks

Required Qualifications

This role requires substantial practical circuit-design knowledge despite the listed entry-level experience classification. Candidates should meet the education or experience pathway below and be able to explain circuit behavior and technical decisions clearly.

• MS or PhD in Electrical Engineering or a closely related discipline, or BS in Electrical Engineering with 1-2 years of relevant professional circuit-design experience
• Professional experience designing analog, digital, power, mixed-signal, or RF circuits
• Experience with designs that were fabricated, integrated, shipped, or taped out
• Practical proficiency with Python
• Experience using at least one command-line, scriptable, text-based, or programmatic EDA, circuit-simulation, PCB, HDL, synthesis, or verification tool
• Strong understanding of circuit behavior, component selection, tolerances, failure modes, and design trade-offs
• Experience with hardware bring-up, laboratory validation, design verification, or post-fabrication debugging
• Ability to evaluate circuit behavior, detect invalid assumptions, and compare simulations with calculations or physical measurements

Helpful Tools and Technical Experience

Experience with comparable programmatic tools is relevant. The following tools and libraries are specifically identified as helpful for this work.

• ngspice, Xyce, SPICE-compatible simulators, PySpice
• Yosys, Verilator, HDL simulators, and cocotb
• KiCad scripting, EDA APIs, and instrument-control libraries
• Python libraries including NumPy, SciPy, pandas, and Matplotlib

Why Build an AI Training Career with OpenTrain

AI training and data labeling are expanding fields where human expertise shapes how modern AI systems perform. OpenTrain helps you build a credible record of that work, discover opportunities aligned with your skills, and grow your experience over time.

For circuit designers, this is an opportunity to apply engineering knowledge beyond traditional product development while contributing to the evaluation of advanced AI-generated technical reasoning.

• Build a unified portfolio of AI training experience
• Showcase specialized electrical engineering expertise
• Find flexible remote projects that fit around your schedule
• Apply your professional judgment to emerging AI systems