Robotics Data Trainer, On-Site- Contract
Xperteez Technology · San Francisco, CA, US
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- Location
- San Francisco, CA, US
- Type
- Contract
- Posted
Role Title: Robotics Data Trainer
Role Type: Contract
Location: On-site, San Francisco
Required Skills:
- Fine motor control
- Attention to detail
- Ability to follow instructions exactly
- Comfort with repetitive
- Hands-on work
- Physical stamina
- Reliability and punctuality
- Quick to learn basic hardware
- Clear communication
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.
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