Intern (m/f/d) Robot Teaching & VLA Data Engineering at Agile Robots SE

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

12 Oct, 26

Salary

0.0

Posted On

14 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, Machine Learning, Robot Teleoperation, Data Engineering, Vision-Language-Action Models, Imitation Learning, Behavioral Cloning, Robotics, Data Quality Review

Industry

Automation Machinery Manufacturing

Description

About the role The Industrial Automation & Robotic Applications Department of Agile Robots is looking for a Intern (m/f/d) Robot Teaching & VLA Data Engineering, who will teleoperate an industrial semi-humanoid robot and evaluate the resulting training data as it is taught, at a customer production site, to pick up workpieces and place them into a fixture. The robot learns this task through Vision-Language-Action (VLA) models, which are trained on the demonstrations this role records. Your Responsibilities Teleoperation & Demo Recording: Set up and operate the robot to record training demonstrations directly at the hardware, using teleoperation devices such as Universal Manipulation Interfaces (UMIs), GELLO devices, space mice, and classical programming approaches. Data Quality Review: Check and evaluate recorded demonstrations for quality and usability, flagging issues that could affect downstream training. Method Improvement: Work with the AI and Software teams to identify how data collection, teleoperation setup, and training methods can be improved. Safe Operation: Follow site safety protocols when operating the robot in a live customer production environment. Documentation: Keep clear records of recording sessions, data quality findings, and process changes so results are traceable and reproducible. Essential Skills Academic Background: Currently enrolled in a Master's programme in Robotics, Machine Learning, Computer Science, Mechanical Engineering, or a closely related technical field. Python: Solid Python skills and working familiarity with common ML/scientific computing libraries. ML Basics: Working understanding of machine learning fundamentals and hands-on experience with PyTorch. Beneficial Skills Robotics Context: Prior exposure to robot learning workflows, teleoperation systems, or demonstration data collection. Learning Methods: Familiarity with imitation learning, behavioral cloning, or VLA/world-model approaches applied to robotic or embodied tasks. Interdisciplinary Experience: Demonstrated work or study experience spanning hardware, software, and AI. Your Profile What we offer Practical learning opportunities to complement your studies. Dynamic high-tech company combined with financial soundness and world class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Corporate Benefits Program that covers health, mobility and learning with 100 € net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment. About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.

Responsibilities

The intern will teleoperate an industrial semi-humanoid robot to record training demonstrations for Vision-Language-Action models at customer sites. They will also evaluate data quality and collaborate with AI teams to improve data collection and training methods.