Robotics Data Trainer, On-Site- Contract Onsite (San Francisco, CA)

Dover; San Francisco, Northern (CA, KY); Hybrid; USD 28,000 - 55,000; Part time

Job summary

Dover in San Francisco is seeking a Robotics Data Trainer for an on-site contract. You will help train next-generation AI systems by providing high-quality, real-world data through hands-on manipulation tasks, with no prior AI experience required.

Work closely with the project team to follow detailed protocols, reset environments between tasks, report issues clearly, and maintain accuracy over long hours of focused, repetitive activity.

Qualifications

• Must have fine motor control and precise hand-eye coordination.
• Excellent attention to detail and ability to follow written instructions exactly.
• Comfort with repetitive, hands-on tasks and sustained focus.
• Good physical stamina to perform manual manipulation across sessions.
• Reliable, punctual, and able to work with minimal supervision.
• Quick learner of basic hardware interfaces and procedures.
• Clear written and verbal communication to report observations.

Responsibilities

• Operate a handheld UMI gripper device onsite in a San Francisco lab to perform repetitive manipulation tasks across varied objects.
• Follow detailed task instructions with exactness to ensure consistent data capture for robot learning models.
• Reset environments between tasks and verify data quality before proceeding.
• Detect irregularities and communicate issues to the project lead for prompt resolution.
• Maintain high accuracy and endurance during extended hands-on work.
• Document observations and suggest potential process improvements.
• Collaborate with project coordinators to ensure smooth project execution and protocol adherence.

Skills

Fine motor

Attention to detail

Follow instructions

Repetitive work

Hands-on

Physical stamina

Reliability

Quick to learn

Clear communication

Job description

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.