Robotics Data Trainer

Robotics Data Trainer

Robotics Data Trainer

(Use the "Apply for this Job" box below)..micro
1.ai/post/1d56a6b-998a-?referral

Code=1761f2a1-0970-4c4f-a273-f&=referral&=share&=

Role Type:
Contractor

Location:

On-site, San Francisco

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.

• 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.