Robotics Data Research Internship

Vor 7 Tagen

Leipzig, Sachsen, Deutschland Moyyn Group Vollzeit

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

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