About the role
About Dexmate
Dexmate is building the foundation for physical AI — combining a new generation of robots with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.
If you want to help shape the next layer of human capability — and believe the future of robotics should be built together, not in isolation — we'd love to build it with you.
The Role
You will operate our robots through a wearable exoskeleton system to generate the high-quality data that trains them. This is not a simulation role — you will work with real robotic hardware, real environments, and real task execution.
This is an on-site contract position based at our Singapore lab, with working hours and contract duration aligned to active data collection campaigns.
You’ll perform structured manipulation tasks repeatedly and precisely to help us collect diverse, high-quality training data for our robotics models. This is a hands-on, execution-focused role where consistency, precision, and attention to detail matter.
Why This Role Matters
Every movement you make becomes training data. That data helps robots learn how to perform real-world tasks, from simple manipulation to increasingly complex workflows.
You’ll work directly with cutting-edge robotic hardware and alongside our robotics and AI teams, contributing to the data that shapes how our robots learn to interact with the physical world.
Responsibilities
- Teleoperate robotic arms using Dexmate’s exoskeleton system, where your movements directly control the robot
- Execute predefined manipulation tasks such as picking, placing, sorting, and assembly
- Repeat tasks consistently to generate high-volume, high-quality training data
- Follow structured task instructions, SOPs, and data collection workflows
- Perform task variations based on engineering and data collection needs
- Provide feedback on system behavior, usability, task execution, and data quality
- Reset and maintain the workspace between data collection runs
- Maintain safe and controlled operation of robotic hardware in a lab environment
Minimum Qualifications
- Strong hand-eye coordination and spatial awareness
- High attention to detail
- Ability to follow instructions precisely and consistently
- Comfortable with repetitive, precision-focused work
- Ability to stay focused for extended periods
- Reliable, punctual, and safety-conscious
- Comfortable working hands-on with robotic hardware
Preferred Qualifications
- Experience with VR/AR systems such as Meta Quest or Apple Vision Pro
- Familiarity with gaming, remote-control systems, or simulation environments
- Experience operating machinery or other hand-controlled equipment
- Exposure to robotics, teleoperation, or similar systems