Robot Training Operator

Remotebridge; San Francisco (CA); On-site; USD 34,000 - 62,000; Full time

Job summary

Frontier AI Lab in San Francisco is seeking a Robot Training Operator to support the training of next-generation AI systems. You will perform precise, repetitive manipulation tasks using a handheld gripper, following strict protocols to capture reliable data for model learning.

No prior AI experience is required; strong attention to detail and reliability are essential as you work onsite to ensure data quality, document observations, and communicate any issues to the project lead.

Qualifications

• Demonstrated ability in tasks requiring fine motor skills and precision handling.
• Proven reliability, punctuality, and accountability in various engagements.
• Strong attention to detail and accuracy during repetitive tasks.
• Clear written and verbal communication for flagging issues.

Responsibilities

• Operate a handheld gripper device onsite in a San Francisco lab for repetitive tasks.
• Follow detailed instructions to ensure high-quality data for robot learning.
• Reset environments between tasks and verify data quality before proceeding.
• Detect irregularities and report issues to project leads for quick resolution.
• Maintain focus and stamina during long periods of precise manual work.

Skills

Fine motor skills

Reliability

Attention to detail

Written and verbal communication

Job description

# Robot Training OperatorFrontier 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: Robot Training OperatorRole Type: ContractorLocation: On-site, San FranciscoOur team is engaging Robot Training Operator 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.