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Job Title: Robotics Data Generalist
Job Type: Contract (Full-time or Part-time)
Location: United States
Data capture sessions will take place in controlled environments near major university robotics programs.
Role Overview
We are building real-world datasets used to train robotics systems.
This role involves participating in structured data capture sessions designed to generate high-quality training data for embodied AI systems. Participants will follow guided protocols to perform a variety of physical tasks in controlled environments.
This is a paid opportunity to contribute directly to the development of Physical AI.
What You’ll Do
Who This Is For
We are primarily looking for students interested in robotics, AI, and embodied intelligence.
Students involved in robotics labs, manipulation research, or controls work are especially encouraged to apply.
Sessions will take place near the following universities, so anyone able to attend in-person nearby is welcome to apply:
• Stanford University
• University of California, Berkeley
• UCLA
• University of Southern California
• Carnegie Mellon University
• Georgia Institute of Technology
•The University of Texas at Austin
• University of Illinois Urbana-Champaign
• University of Michigan
• Purdue University
• Virginia Tech
• Arizona State University
What We’re Looking For
Additional Details
Participants will contribute to datasets used to advance robotics research.
Apply directly on micro1 to get started.