Robotics Data Generalist

Micro1; India; Remote; INR 2,587,000 - 3,234,000; Full time

Job summary

Cashback24x7 seeks a Robotics Data Generalist to participate in structured data capture sessions near major university robotics programs in the United States. You will perform guided tasks and contribute to high-quality embodied AI datasets, with paid hourly work in a small, focused team.

Responsibilities include following protocols, maintaining consistency across recordings, and supporting data capture workflows in controlled environments. Prior robotics experience is helpful but not required.

Qualifications

• Role involves structured data capture sessions in controlled environments.
• Paid hourly opportunity contributing to robotics datasets.
• No formal robotics degree required; interest and reliability key.

Responsibilities

• 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.
• Collaborate with a small team building robotics datasets.

Skills

Attention to detail

Follow structured protocols

Reliability and consistency

Robotics interest

Scheduling data capture sessions

Robotics experience helpful

Job description

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.

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.