Job Description

Role Overview:

We are looking for highly motivated interns to join robotics data research team for a stealth Physical AI startup. You will work at the intersection of robotics, AI, and data science, helping build the next-generation data infrastructure for robots. Your work will directly impact the development of general-purpose robotics models and support the creation of real-world, standardized datasets. Please note that the internship is unpaid.

Key Responsibilities:

Research and evaluate open-source robotics datasets (e.g., OXE, DROID, Bridge, LeRobot, etc.) for quality, diversity, and usability. Standardize datasets into unified schema and annotate data for downstream robotics tasks. Assist in designing and executing protocols for collecting new real-world datasets across various environments and robot platforms. Identify gaps in existing datasets and contribute to synthetic data generation workflows. Collaborate with AI/robotics engineers to ensure datasets are usable for model training and testing. Document and maintain dataset metadata, collection protocols, and annotation standards.

Qualifications / Requirements:

Current undergraduate or graduate student in Robotics, Computer Science, AI, Mechanical Engineering, or related field. Familiarity with robotics concepts, sensors, and control systems. Experience with data annotation, dataset standardization, or data preprocessing. Programming experience (Python preferred) and familiarity with data manipulation libraries (NumPy, Pandas, OpenCV, etc.). Strong analytical and problem-solving skills, with attention to detail. Passion for robotics, AI, and solving real-world data challenges. Bonus: Experience with simulation tools (Isaac Gym, Gazebo), ROS, or synthetic data generation pipelines.

What You’ll Gain:

Hands-on experience with large-scale robotics datasets. Exposure to cutting-edge robotics foundation models and real-world applications. Mentorship from experts in robotics and AI.
Art der Stelle: Vollzeit

Arbeitsort: Homeoffice