Robotics Trainer - Internship

Remotebridge; San Francisco (CA); On-site; USD 25,000 - 39,000; Full time

Job summary

Frontier AI Lab in San Francisco is seeking a Robotics Trainer intern to join our hands-on data collection team. You will operate a handheld UMI gripper onsite, perform repetitive manipulation tasks, and help gather quality data for advancing robotic learning models.

No prior AI experience is required; the role emphasizes strong attention to detail, reliability, and the ability to follow detailed instructions accurately.

Qualifications

• Fine motor skills and precision handling of objects.
• Strong attention to detail and reliability.
• Clear written and verbal communication skills.

Responsibilities

• Operate a handheld UMI gripper onsite in a San Francisco lab to perform repetitive manipulation tasks.
• Follow detailed, written task instructions and protocols with exactness to ensure consistent data capture for robot learning models.
• Reset environments between tasks and verify the quality of each data submission.

Skills

Fine motor skills

Attention to detail

Reliability

Communication

Job description

# Robotics Trainer - InternshipFrontier AI Lab · Remote · Full-time## Ready to see if you fit?Upload a resume once, then run an honest fit check on this role in seconds. Access is free and always will be.Sign up to check your fit## About the roleRole Title: Robotics Trainer - InternshipRole Type: ContractorLocation: On-site, San FranciscoOur team is engaging Robotics Data Trainers to contribute to an innovative customer project focused on advancing robotic intelligence. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required.### Scope of Work• Operate a handheld UMI gripper device onsite in a San Francisco lab to perform repetitive manipulation tasks, such as picking up objects, opening containers, and conducting simple household actions across varied objects and environments.• Follow detailed, written task instructions and protocols with exactness to ensure consistent and reliable data capture for robot learning models.• Reset physical environments between task attempts and verify the quality of each data submission before proceeding to subsequent tasks.• Detect and clearly communicate any irregularities (such as hardware malfunctions, unclear instructions, or compromised recordings) to the project lead for prompt resolution.• Maintain high levels of accuracy and consistency through extended periods of hands-on, repetitive activity requiring continuous attention to detail and physical stamina.• Document observations, report issues, and suggest potential process improvements through both written and verbal channels.• Collaborate with project coordinators and fellow contributors to ensure smooth project execution and alignment with collection protocols.### Preferred Qualifications• Demonstrated ability in tasks requiring fine motor skills, dexterity, and precision handling of objects.• Track record of reliability, punctuality, and strong personal accountability in prior professional, academic, or gig-based engagements.• Comfort with repetitive, physical tasks and the endurance to remain focused over extended participation windows.• Proven attention to detail and the ability to meticulously follow complex, step-by-step instructions without deviation.• Ability to quickly learn basic hardware interfaces and troubleshoot minor technical issues as they arise.• Clear and effective written and verbal communication skills, especially for flagging issues, submitting observations, and interpreting instructions.• Backgrounds in hands-on work (such as warehouse, operations, gaming, gig work, or student projects) are valued; no previous robotics or AI experience is required.