Robotics Data Trainer — On-Site SF Contract

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

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.