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Electronic Engineer (Qucs-S)

$65–123/hr · micro1 · remote

Open to people living anywhere except 21 places, per micro1's own policy (checked 9 Oct 2026). This listing doesn't name countries itself.

The 21 places micro1 leaves out

Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russia, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, Ethiopia.

Check history

CheckedStatusSlots leftChangeHow
8 Nov 2026Open250Script, platform’s board
7 Nov 2026Open250Script, platform’s board
6 Nov 2026Open250Script, platform’s board
5 Nov 2026Open25–Script, platform’s board

The script reads the platform’s own job board every night. A job not confirmed for 10 days comes off the list.

Most people who don't get in fail the screening, not the CV. Five minutes here first: How to pass the micro1 AI interview with Zara.

What the work is

micro1 is looking for experienced Qucs-S specialists to support an AI training project. In this role, you will use Qucs-S to complete real-world electronic circuit design and simulation tasks and explain your workflows step by step. Your expertise will help improve how AI systems understand electronics engineering.

Key Responsibilities

  • Design and simulate electronic circuits using Qucs-S.
  • Work with analog, digital, and mixed-signal circuits.
  • Perform circuit analysis, including AC, DC, and transient simulations.
  • Troubleshoot circuit issues and improve circuit performance.
  • Complete advanced Qucs-S tasks and explain your workflows step by step.
  • Create clear instructions and detailed prompts for circuit simulation tasks.

Who gets hired

  • Strong professional experience using Qucs-S.
  • Hands-on experience with electronic circuit design and simulation.
  • Good understanding of SPICE simulation, circuit analysis, and electronic components.
  • Experience troubleshooting circuits and analyzing simulation results.
  • Access to Qucs-S and ability to record your screen while completing tasks.
  • English proficiency at B2 level or higher.
  • Ability to explain technical workflows clearly.

Preferred Qualifications

  • A relevant master's degree or PhD in Electrical or Electronics Engineering.
  • Previous Human Data experience, such as data annotation, RLHF, or AI model evaluation.
  • Experience with other circuit simulation or EDA tools.
  • Professional experience in electronics or hardware engineering.

The platform posted this on 3 Nov 2026.

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