Robotics Data Internship - Contribute to Real-World Humanoid Training Data
$10 - $30/hourpay
Required Skills
robotics
data annotation
sensor calibration
python
ros
communication
detail orientation
problem-solving
collaboration
data organization
Job Description
Job Title: Robotics Data Internship - Contribute to Real-World Humanoid Training Data
Job Type: Internship
Location: Remote (with data capture sessions centered near leading university robotics programs)
Job Summary
Join our customer's team as a Robotics Data Intern and play a vital role in advancing humanoid robotics. You will contribute directly to the creation of cutting-edge, real-world humanoid training datasets and gain hands-on experience at the forefront of robotics and embodied AI. This position offers a unique opportunity to collaborate with top minds and help shape the future of physical AI.
Key Responsibilities
- Participate in structured, controlled robotics data capture sessions alongside researchers and engineers.
- Execute manipulation tasks using advanced humanoid robotic platforms under guided protocols.
- Collect, annotate, and organize high-quality datasets essential for humanoid AI development.
- Collaborate with cross-functional teams to ensure data accuracy and integrity.
- Support sensor calibration, environment setup, and hardware troubleshooting during data trials.
- Document processes and results with clarity to aid reproducibility and data usability.
- Engage in regular knowledge exchanges to deepen your exposure to embodied AI workflows.
Required Skills and Qualifications
- Strong interest in robotics, AI, or computer science—preference for current students near major robotics research universities.
- Demonstrated ability to communicate effectively in both written and verbal form; clarity and precision are highly valued.
- Detail-oriented mindset with a commitment to producing robust, reliable data.
- Some hands-on experience with robotics platforms, data capture tools, or sensors.
- Ability to follow structured protocols and adapt to collaborative, fast-paced research settings.
- Reliable self-starter with a proactive approach to problem-solving and learning.
- Comfortable working remotely, with availability to attend periodic in-person data sessions as required.
Preferred Qualifications
- Background in robotics, automation, or mechatronics engineering.
- Experience with data annotation, robotic manipulation tasks, or software relevant to robotics (e.g., ROS, Python).
- Previous involvement in academic or industry robotics research teams.