$10–20/hr · micro1
Lab-based intern who uses a handheld wearable gripper device to perform precise manipulation tasks, creating training data for robot learning.
What you would do
- Operate handheld UMI gripper onsite to perform repetitive manipulation tasks like picking objects and opening containers
- Execute detailed task procedures and checklists with precision to maintain consistent, high-quality data
- Reset work areas between task cycles and validate recording quality prior to submission
- Detect irregularities and communicate hardware malfunctions, unclear instructions, or compromised recordings
- Document observations, report issues, and suggest process improvements both verbally and in writing
Who they want
- Demonstrated dexterity and manual precision when executing object manipulation tasks
- Proven reliability and punctuality with consistent personal accountability in previous work or educational settings
- Comfort with repetitive physical tasks and stamina to remain focused over extended work periods
- Excellent precision and ability to execute intricate, sequential procedures faithfully without shortcuts
- Capable of rapidly mastering hardware fundamentals and addressing straightforward technical challenges
Main skills
What the interview asks about
1.Fine motor precision and consistency
Robot learning depends on precise hand movements; sloppy technique creates unusable training data.
For example: “You're assigned to pick up a small glass bead and place it in a narrow slot, repeating 20 times. On tries 1-5 your placement is perfect. On tries 16-20 you're tired and place it slightly off-center. Do you notice this degradation, and what do you do?”
2.Protocol compliance and exactness
Deviating from instructions, even with good intent, corrupts the data; robots must learn from consistency.
For example: “The task says 'grasp the bottle with thumb and two fingers, rotate 180 degrees, place on shelf.' You can easily do it with your whole hand and faster. Why follow the exact instruction?”
3.Quality checking before submission
Catching problems yourself prevents wasting compute on bad data and showing you understand data quality.
For example: “After completing a task recording, you notice the lighting was too dim for the last 5 seconds and your hand is barely visible. Do you rerecord or submit anyway?”
4.Hardware and instruction issue reporting
Problems multiplied across trainers waste the whole team; reporting early saves everyone time.
For example: “During a session, the gripper's haptic feedback stops working. You can still complete the tasks visually, but you lose the tactile sense of grip tension. Do you report this or work around it?”
5.Stamina and focus maintenance
Quality degrades as you tire; recognizing when you need a break prevents hours of bad training data.
For example: “You've been recording for 4 hours straight and have 2 more hours of tasks scheduled. You're starting to make small mistakes and feel hand fatigue. What's your approach?”
A task you may get
Perform a 10-minute sequence of precise object manipulation (e.g., picking, placing, stacking) following written step-by-step instructions, then describe what quality checks you'd do before submitting a recording.
How to prepare
- Practice fine motor tasks (building with small blocks, threading small beads, organizing small objects) to assess your own dexterity
- Observe videos of precise hand manipulation and note what consistency and exactness look like
- Test your ability to follow complex written instructions for physical tasks without improvisation or shortcuts
The facts
- Pay
- $10–20/hr
- Open to
- Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
- Field
- Robotics
- Role type
- Generalist
- Posted
- 9/14/2026
- Places left
- 10
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