OpenTrain AI seeks an experienced Electronic Engineer with deep Qucs-S expertise to design, simulate, and validate circuits remotely (20+ hrs/week). Competitive hourly pay up to $120/hr; contractor, part-time role for skilled simulation engineers who document and mentor teammates.
Coding & Software
$50–$120/hr
Compensation
Worldwide
Eligibility
Expert
Experience
Jun 30, 2026
Posted
Open worldwide
OpenTrain is the #1 platform for building careers in AI training and data labeling. We connect skilled contributors with specialized technical projects, help people consolidate work across platforms into a single professional profile, and support durable freelance careers in the fast-growing AI training industry.
OpenTrain AI is the hiring organization for this role. You will work as a remote contractor on focused engineering tasks that contribute to AI training and technical data workflows.
AI training (data labeling / human feedback) is the human layer that helps models learn: people prepare examples, evaluate outputs, and shape system behavior. Projects range from simple annotation to specialist technical work—like simulation and engineering validation—where domain expertise matters.
These roles are often 100% remote, flexible, and suitable for experts who want part-time, high-impact work that directly influences how AI systems are built and validated.
We are hiring an Electronic Engineer (Qucs-S Expert) to lead circuit simulation, design optimization, and validation work using Qucs-S. You will simulate electronic circuits and systems, troubleshoot simulation and prototyping issues, and produce clear technical documentation for stakeholders and teammates.
This is a contractor, part-time role (20+ hours/week) open to contributors worldwide who communicate in English and can work independently in a distributed team.
Deliver accurate circuit simulations and analyses in Qucs-S, iterate designs for performance and manufacturability, and support prototyping and troubleshooting efforts. Expect to collaborate with distributed engineers and mentor others on advanced simulation techniques.
Candidates must demonstrate proven, hands-on expertise with Qucs-S and a strong background in electronic circuit design, testing, and optimization. The role requires clear technical writing and communication skills, the ability to work independently, and a relevant degree.
Preferred, but not required: experience integrating Qucs-S with other EDA tools or custom workflows, background across analog/digital/mixed-signal design, and contributions to Qucs-S open-source projects or community forums.
This is a remote contractor position, part-time at 20+ hours/week. OpenTrain AI will contract you directly for project work; you will submit deliverables, documentation, and mentoring contributions as agreed.
Compensation is paid hourly in USD. The posted range is $50–$120 per hour, with the role offering up to $120/hr depending on experience and scope. Work is labeled as PAY_PER_HOUR and classified under evaluation and data collection tasks (EVALUATION_RATING, DATA_COLLECTION).
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