
Data Collector / part-time job / 8 to 40 hours a week at Mimic Robotics (Zurich, Switzerland)
Mimic Robotics· Zurich, Switzerland·
Role details
Job description
This is a part-time job that fits around your life. Work 8 to 40 hours a week, choosing from three daily shifts between 7:00 and 21:00, Monday to Friday.
At mimic, we build robots that learn new skills directly from you. We're a deep-tech startup in Zurich, backed by leading investors and working on one of the most exciting problems in tech.
As a Data Collector, you'll generate the data that teaches our robots how to move. Wearing our data-capture gloves (have a look here!), you'll perform manual tasks by hand and collect the human demonstrations our models learn from.
We run three shifts a day, Monday to Friday, each 4 hours long. Work a single shift or combine two in a row for an 8-hour day. You choose how much you work, from 8 to 40 hours a week:
- Morning — 8:00 to 12:00 (possibility to start earlier 7:00-11:00 or later 9:00-13:00)
- Afternoon — 13:00 to 17:00
- Evening — 17:00 to 21:00 (possibility to start later 18:00-22:00)
What you'll do:
- Put on our data-capture gloves (see here) and get going: gather rich datasets and help our robots learn directly from human hands.
- Collect and label high-quality datasets.
- Work with the team to keep data collection running smoothly.
What you bring:
- Tolerance for repetitive work.
- Attention to detail.
- A clear communicator and team player.
- You speak English or German.
What we offer:
- 25 CHF/hour.
- Plannable hours that still fit around your life: pick from 8 to 40 hours a week. Scale back during exam season and holidays.
- A great office right next to MFO Park in Oerlikon.
- Amazing teammates.
Why work at Mimic Robotics
- Culture: “Bias toward action” – solving real problems on factory floors, not just publishing papers. Tight‑knit team of ~50 people from diverse backgrounds.
- Work environment: In‑office roles in Zurich (HQ) and San Francisco; roles include AI Research Engineer, Forward Deployed Engineer, Embedded Systems Engineer, and Field Engineer.
- Engineering culture: Cutting‑edge AI research combined with hands‑on hardware and systems work; collaboration with top academic labs (ETH Zurich, MIT).
- Growth opportunity: Join a fast‑growing startup (166% headcount increase) at the frontier of physical AI, with direct impact on product and customer success.