Robotics Data Generalist

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

• Participate in structured data capture sessions under guided protocols
• Perform a range of everyday interaction and manipulation tasks
• Follow detailed instructions to ensure consistency across recordings
• Help maintain organized data capture workflows
• Work alongside a small team focused on building high-quality robotics datasets

Who this is for

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

• Strong attention to detail
• Ability to follow structured protocols carefully
• Reliability and consistency across repeated tasks
• Interest in robotics and physical AI systems
• Availability for scheduled data capture sessions

Previous robotics experience is helpful but not required.

Additional Details

• Paid hourly
• Small, selective cohort
• Multi-session participation preferred

Participants will contribute to datasets used to advance robotics research.