AI Robotics Data Trainer — College Student (SF On-site)

YO AI Labs

New York (NY)

Remote

USD 28,000 - 34,000

Full time

14 days+
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Job summary

YO AI Labs seeks college students for an on-site AI robotics data collection role. You will operate a handheld gripper to perform repetitive tasks, follow detailed protocols, and reset environments between sessions. The position emphasizes reliability, focus, and precise communication.

No robotics or AI experience is required, making it suitable for students seeking hands-on learning. Collaborators include project coordinators and team members to ensure data quality and process improvements.

Qualifications

  • Good fine motor skills and dexterity.
  • Reliability, punctuality and accountability.
  • Able to follow instructions precisely.
  • Strong attention to detail and ability to follow procedures.
  • Able to quickly learn basic hardware and software.
  • Clear written and verbal communication skills.
  • Hands-on experience in warehouse work, operations, gaming, gig work, student projects, or similar activities is a plus.
  • No previous robotics or AI experience required.

Responsibilities

  • Operate a handheld UMI gripper device to perform repetitive manipulation tasks, such as picking up objects and opening containers.
  • Follow detailed instructions and protocols precisely to ensure consistent data collection.
  • Reset physical environments between tasks and verify data quality.
  • Identify and report hardware issues, unclear instructions, or recording problems.
  • Maintain accuracy and focus during repetitive hands‑on activities.
  • Document observations and communicate issues or process improvements.
  • Work closely with project coordinators and other team members.

Skills

Fine motor skills
Reliability
Follow instructions
Attention to detail
Quick learner
Clear communication
Related experience

Job description

YO AI Labs seeks college students for an on-site AI robotics data collection role. You will operate a handheld gripper to perform repetitive tasks, follow detailed protocols, and reset environments between sessions. The position emphasizes reliability, focus, and precise communication.

No robotics or AI experience is required, making it suitable for students seeking hands-on learning. Collaborators include project coordinators and team members to ensure data quality and process improvements.

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