Electronic Engineer — Qucs-S Expert

About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. We connect skilled contributors with specialized, remote projects that shape how modern AI systems learn and behave.

This posting is part of OpenTrain's mission to help professionals find durable freelance work, consolidate opportunities, and build a portfolio of hands-on AI-training experience.

About AI training and engineering work

AI training work includes many technical activities beyond simple labeling — for engineering-focused projects that touch simulation, documentation, and data collection, skilled contributors help create the ground truth and evaluation assets AI systems consume.

Contributors often work remotely, part-time or contract, and can apply domain expertise (like electronics and circuit simulation) to improve models and tooling used across the industry.

The role

OpenTrain is recruiting an Electronic Engineer with specialized knowledge of Qucs-S to support circuit simulation, validation, and documentation efforts for OpenTrain. This is a remote-first, contract position targeted at experienced engineers.

You will own simulation workflows, produce technical deliverables, and collaborate with distributed teams to translate requirements into robust, manufacturable circuit designs.

• Employment type: Contractor, part-time.
• Time commitment: 20+ hours per week.
• Location: Remote — worldwide; English required.

What you'll do

Lead end-to-end circuit simulation and validation using Qucs-S, and convert findings into clear technical documentation and stakeholder-ready reports.

• Design, simulate, and validate electronic circuits and systems using Qucs-S.
• Develop detailed technical documentation and present findings to stakeholders.
• Collaborate with cross-functional teams to translate project requirements into robust electronic solutions.
• Optimize circuit designs for performance, reliability, and manufacturability.
• Troubleshoot, analyze, and resolve issues arising during simulation or prototyping phases.
• Stay current with Qucs-S updates and integrate the latest features and best practices.
• Mentor team members on Qucs-S best practices and advanced simulation techniques.

Requirements

Candidates must demonstrate deep, practical expertise with Qucs-S and a strong engineering foundation. All required qualifications are listed below and will be verified during screening.

• Proven expertise with Qucs-S for electronic circuit simulation and analysis.
• Bachelor's or Master's degree in Electronic Engineering or a related field (required).
• Demonstrated experience in electronic circuit design, testing, and optimization.
• Exceptional written and verbal communication skills and experience creating comprehensive technical documentation.
• Strong problem-solving abilities and a proactive approach to technical challenges.
• Ability to work independently in a remote setting and collaborate effectively with distributed teams.

Helpful background

These are not required but will strengthen your application and may influence project fit and compensation.

• Experience integrating Qucs-S with other EDA tools or custom workflows.
• Background in analog, digital, or mixed-signal circuit design.
• Contributions to open-source Qucs-S projects or active participation in community forums.

Compensation, data tasks, and how it works

Compensation for this contract role is listed at an hourly rate; the project metadata shows an hourly rate of $120 with a range of $50–$120 per hour. Exact pay and billing terms will be confirmed during contracting.

The work includes simulation outputs and technical documentation; the project also involves evaluation-rating and data-collection activities related to those documents and artifacts used for training and model evaluation.

• Pay: $50–$120 per hour (project lists $120/hr).
• Weekly time expectation: 20+ hours.
• Labeling/data details: data type = DOCUMENT; label types include EVALUATION_RATING and DATA_COLLECTION;
• How to apply: create an OpenTrain profile, include your Qucs-S experience and examples of past simulations/documentation, and apply via the platform for screening and interview.