Robot Training Operator
micro1 · 100% remote · Contract · Posted
- Pay
- $30/hr
- Location
- San Francisco, on-site
- Languages
- English
- Hours
- Flexible
- Openings
- 10
- Level
- Entry level
Summary
Use a handheld UMI gripper in a San Francisco lab to record physical tasks for robot learning. Tasks include object handling and simple household actions. Previous robotics or AI experience is unnecessary.
What you'll do
- Operate a UMI gripper to perform repetitive manipulation tasks.
- Follow written task instructions and recording protocols.
- Reset physical environments between attempts.
- Check each data submission for quality.
- Report hardware faults, unclear instructions, and recording problems.
- Document observations and process improvements.
- Coordinate with project staff and other contributors.
Requirements
- Fine motor skills, dexterity, and precise object handling.
- Reliability, punctuality, and personal accountability.
- Comfort with repetitive physical tasks and sustained attention.
- Physical stamina.
- Ability to follow detailed instructions accurately.
- Ability to learn hardware interfaces and troubleshoot minor issues.
- Clear written and verbal communication.
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
Full description
Role Title: Robot Training Operator
Role Type: Contractor
Location: On-site, San Francisco
micro1 is engaging Robot Training Operator 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
- 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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