Working Student/ Contractor for Physical AI Training

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Summary

Location

Zurich, Switzerland

Work

Contract - Flexible

About this Job

About Flexion: 

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.

The Role

You will perform a variety of physical tasks that are captured and used as training data for our AI models, alongside data curation and testing in sim.

Responsibilities:

  • Perform structured physical tasks following defined protocols to generate high-quality motion data

  • Maintain precision and consistency across repeated task sequences

  • Data curation: inspection, logging, cataloging

  • Provide feedback to the AI team on task clarity and execution feel

  • Test the datasets in sim 

  • Learn new task sets as our hardware and research evolves

  • Ideally currently pursuing or planning to pursue a degree in Robotics, Computer Science, Engineering, Game Design, or a related field 

  • Basic computer literacy; comfortable in a terminal 

  • Strong hand-eye coordination and spatial awareness

  • Detail-oriented with the ability to maintain focus during repetitive tasks

  • Comfortable working in a structured, protocol-driven environment

  • Genuine curiosity about AI, robotics, and how machines learn

  • You are able to work 15 hours or 34 hours a week

  • Competitive compensation

  • A front-row seat at one of Europe's most ambitious robotics companies

  • An energetic, collaborative team with a bias for action

About the Company

Flexion Robotics logo

Flexion Robotics

Privately Held
Robotics Software & AIResearch & Academia

We at Flexion Robotics (flexion.ai) are a young company in Zurich working on the next generation of humanoid robot software to enable robots to perform useful tasks autonomously. We work dynamically and move fast. The team is still fairly small and every new employee at this stage will have significant ownership of their current project.

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