Robotics Data Trainer

micro1; San Francisco, Northern (CA, KY); Hybrid; USD 42,000 - 60,000; Full time

Job summary

micro1 is seeking a Robotics Data Trainer to support an on-site project in San Francisco. This contractor role focuses on guiding data collection for robotic AI systems, including operating a handheld UMI gripper and following precise instructions to ensure high-quality training data.

You will maintain accuracy during repetitive tasks, report issues promptly, and collaborate with coordinators to align with collection protocols.

Qualifications

• Experience with tasks requiring precise hand-eye coordination.
• Demonstrated reliability in prior roles or gigs.
• Ability to follow complex step-by-step instructions.
• Strong written and verbal communication for flagging issues.

Responsibilities

• Operate a handheld UMI gripper device onsite in a San Francisco lab.
• Follow detailed task instructions to ensure high-quality data capture.
• Reset environments between tasks and verify data submissions.
• Detect irregularities and report to the project lead promptly.
• Maintain accuracy during extended repetitive work with focus.
• Document observations and report issues.
• Collaborate with coordinators to ensure smooth project execution.

Skills

Fine motor skills

Reliability

Attention to detail

Clear communication

Dexterity

Fast learner

Tools

UMI gripper

Job description

Role Title: Robotics Data Trainer

Role Type: Contractor

Location: On-site, San Francisco

micro1 is engaging Robotics Data Trainers 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

1. 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.
2. Follow detailed, written task instructions and protocols with exactness to ensure consistent and reliable data capture for robot learning models.
3. Reset physical environments between task attempts and verify the quality of each data submission before proceeding to subsequent tasks.
4. Detect and clearly communicate any irregularities (such as hardware malfunctions, unclear instructions, or compromised recordings) to the project lead for prompt resolution.
5. Maintain high levels of accuracy and consistency through extended periods of hands-on, repetitive activity requiring continuous attention to detail and physical stamina.
6. Document observations, report issues, and suggest potential process improvements through both written and verbal channels.
7. Collaborate with project coordinators and fellow contributors to ensure smooth project execution and alignment with collection protocols.

Preferred Qualifications

1. Demonstrated ability in tasks requiring fine motor skills, dexterity, and precision handling of objects.
2. Track record of reliability, punctuality, and strong personal accountability in prior professional, academic, or gig-based engagements.
3. Comfort with repetitive, physical tasks and the endurance to remain focused over extended participation windows.
4. Proven attention to detail and the ability to meticulously follow complex, step-by-step instructions without deviation.
5. Ability to quickly learn basic hardware interfaces and troubleshoot minor technical issues as they arise.
6. Clear and effective written and verbal communication skills, especially for flagging issues, submitting observations, and interpreting instructions.
7. 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.