Job Overview
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Job Description
Program Overview
We are launching a Robotics Data Program focused on structured humanoid data capture in controlled environments. Selected participants will contribute to real-world embodied AI training datasets through supervised capture sessions involving physical task execution. This is a paid hourly opportunity designed for students involved in robotics, manipulation, and control systems.
Responsibilities for the Robotics Data Internship
- Participate in supervised robotics data capture sessions
- Perform structured object manipulation and task-based workflows
- Follow detailed hardware setup and calibration protocols
- Wear body-mounted camera rigs during sessions
- Maintain consistency and repeatability across recording tasks
- Adhere to NDA and data handling requirements
Eligibility
This opportunity is currently open only to students enrolled at:
- Stanford University
- UC Berkeley
- UCLA
- USC
- Carnegie Mellon University
- Georgia Tech
- UT Austin
- UIUC
- University of Michigan
- Purdue University
- Virginia Tech
- Arizona State University
Ideal Candidate Profile
- Major in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related fields
- Active member of a robotics lab, research group, or robotics club preferred
- Experience with robotic manipulation, hardware systems, or controls
- Detail-oriented and comfortable following structured protocols
- Physically steady and comfortable wearing body-mounted cameras
- Available for multi-session participation
Graduate students and research affiliates are encouraged to apply.
Compensation
- Weekly contractor payout
- Rate will be communicated clearly prior to participation
Commitment
- Pilot window: 7–14 days per city
- Multi-session availability preferred
- Small, selective cohort (5–10 participants per city)
Selection Process
- Application screening
- AI-based interview
- Final selection review
If you are interested in contributing to real-world humanoid AI training systems, apply via the link below.
Key skills/competency
- Robotics
- Data Capture
- Humanoid AI
- Object Manipulation
- Control Systems
- Hardware Calibration
- Data Handling
- Mechanical Engineering
- Computer Engineering
- Structured Protocols
How to Get Hired at Micro1
- Research micro1's mission: Study their focus on embodied AI and robotics data capture.
- Highlight robotics experience: Emphasize any projects, labs, or clubs related to manipulation and controls.
- Tailor your resume: Customize your resume to showcase relevant coursework and technical skills for the Robotics Data Internship.
- Prepare for AI interview: Practice for an AI-based interview, focusing on clarity and technical communication.
- Show attention to detail: Demonstrate your ability to follow structured protocols and maintain data consistency.
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