Electronic Engineer (Qucs-S)

You will complete electronics engineering tasks that help train AI systems. The work focuses on Qucs-S circuit design and simulation, careful analysis of results, and clear explanations of your technical process.

• Design and simulate electronic circuits in Qucs-S.
• Run AC, DC, and transient circuit simulations.
• Analyze simulation results and troubleshoot circuit issues.
• Improve circuit performance through informed design changes.
• Complete advanced Qucs-S tasks and document your workflow step by step.
• Create clear instructions and detailed prompts for circuit simulation activities.

This is a part-time contractor role.

• Pay: $65 to $123 per hour.
• Work type: Part-time contract work.
• Location: Open to candidates across the listed countries in North America, South America, Europe, Asia, Africa, and the Middle East.
• Language: English proficiency at B2 level or higher, with the ability to explain technical workflows clearly.
• Required: Strong professional experience using Qucs-S.
• Required: Experience with electronic circuit design, SPICE simulation, circuit analysis, and electronic components.
• Required: Experience troubleshooting circuits and interpreting simulation results.
• Required: Access to Qucs-S and the ability to record your screen while completing tasks.
• Helpful: A master's degree or PhD in Electrical or Electronics Engineering.
• Helpful: Professional electronics or hardware engineering experience and experience with other circuit simulation or electronic design automation tools.
• Helpful: Experience with data annotation, reinforcement learning from human feedback, or AI model evaluation.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 5 screening questions.

AI training uses examples prepared and reviewed by people to help artificial intelligence systems learn. In specialist projects, people apply professional knowledge to create, explain, or evaluate work that reflects how experts solve real problems.