Circuit Design Expert for AI Training

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this remote AI-training opportunity. OpenTrain helps people build careers teaching AI through specialized projects that apply real professional expertise to the development of advanced models.

• Global, fully remote contractor opportunity
• Flexible schedule with weekend work allowed
• Expected commitment of less than 20 hours per week
• Estimated project duration of under one month

About AI Training and Data Labeling

AI training is the human work behind modern artificial intelligence. Experts create examples, evaluate model responses, identify errors, and develop reliable reference answers so AI systems can perform better in specialized fields such as electronic hardware and engineering.

• Apply your professional knowledge to cutting-edge AI development
• Work remotely with flexible hours
• Help improve how AI reasons about circuits, simulations, verification, and engineering workflows

The Circuit Design Expert Role

You will contribute to an AI-training project focused on electronic hardware, circuit simulation, programmatic EDA workflows, verification, and Python. The work includes creating, solving, reviewing, and validating tasks involving analog, digital, power, mixed-signal, or RF circuits.

This role requires practical circuit-design experience beyond academic simulation. Your background must include designs that were fabricated, integrated, shipped, or taped out, as well as hardware bring-up, lab validation, and debugging experience.

• Pay: $80–$130 per hour, output-based and paid per task
• Contractor and part-time engagement
• Global availability with English-language work
• Intermediate experience level

What You’ll Do

You will combine circuit-design judgment, engineering analysis, programming, and evaluation skills to produce dependable training data and verification assets. You may work across different circuit types and use command-line-accessible tools, scripts, and programmatic APIs.

• Design, analyze, and validate analog, digital, power, mixed-signal, or RF circuits
• Translate electrical requirements into schematics, netlists, models, HDL, constraints, or simulation inputs
• Run circuit simulation, synthesis, verification, and related workflows
• Use Python to generate inputs, automate simulations, run parameter sweeps, control instruments, and analyze results
• Evaluate voltage, current, power, gain, bandwidth, impedance, noise, timing, stability, and thermal behavior
• Perform corner, tolerance, worst-case, transient, frequency-domain, and Monte Carlo analyses
• Compare simulated behavior with analytical calculations and physical measurements
• Diagnose issues involving component selection, parasitics, layout, power or signal integrity, thermal behavior, and manufacturing
• Review AI-generated circuit solutions for incorrect assumptions, invalid configurations, and unsupported conclusions
• Develop reproducible reference solutions and automated verification checks

Required Qualifications and Technical Background

Candidates should have an MS or PhD in Electrical Engineering or a closely related discipline, or a BS in Electrical Engineering plus at least 1–2 years of relevant professional circuit-design experience. Meaningful experience designing analog, digital, power, mixed-signal, or RF circuits is required.

You must have experience with real designs that were fabricated, integrated, shipped, or taped out. Simulation-only academic experience is not sufficient for this project.

• Practical proficiency with Python
• Experience with EDA, circuit-simulation, PCB, HDL, synthesis, or verification tools
• Comfort using command-line interfaces, scripting, text-based inputs, or programmatic APIs
• Relevant tools may include ngspice, Xyce, Yosys, Verilator, KiCad scripting, and SPICE-compatible or HDL simulators
• Relevant Python libraries may include PySpice, NumPy, SciPy, pandas, Matplotlib, cocotb, instrument-control libraries, and EDA APIs
• Hardware bring-up, lab validation, and debugging experience
• Fluent English proficiency

Who Should Apply

This opportunity is intended for electrical engineering professionals who can assess whether a circuit solution is technically valid, reproducible, and supported by evidence. It is especially suited to practitioners who have worked with physical hardware and can connect requirements, simulations, measurements, and implementation details.

You should also be comfortable with computer-code programming labeling workflows, including evaluating technical answers and generating structured reference solutions for AI training.

• Circuit designers with practical industry or product experience
• EDA, verification, simulation, or hardware-validation specialists
• Engineers comfortable reviewing AI-generated technical work
• Professionals available for a flexible commitment under 20 hours per week

Application and Screening Process

The process includes an application with screening questions, an approximately 30-minute AI interview, and any required technical assessment. Candidates who advance will complete hiring manager review and onboarding.

• Create and use a new email address when applying online
• Do not use AI tools during the technical screening assessment
• The assessment evaluates your personal skills and knowledge
• Using AI assistance during the assessment will lead to immediate rejection