Robotics Trainer - Internship

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

• 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.