Working Student - Labelling (f/m/d)

TYTAN Technologies GmbH

Munich, Bayern, Germany · Onsite · Full Time

Posted

Job description

TYTAN Technologies. At TYTAN , we set a global standard in autonomous air defense with AI-drive, cost-efficient systems that counter unmanned aerial threats at scale. We protect people. We protect critical infrastructure. We protect European sovereignty. We are now looking for a team member who wants to make an impact. As a Working Student in Data Labeling (m/f/d) , you will support the team by preparing and managing perception data, ensuring dataset quality, help organize and collect flight recordings used to train our AI models . Responsibilities Annotate and curate perception datasets using our internal annotation tools and help improve it Maintain and improve the quality of existing labeled datasets Organize and manage large-scale perception datasets and recording structures (UAV with cameras) Coordinate with the flight testing team to plan and collect new training data Assist with organizing recorded flight data and metadata Your Profile Currently enrolled in Computer Science, Robotics, Electrical Engineering, or a related technical field Strong attention to detail and ability to produce high-quality, consistent annotations Comfortable working with Linux-based systems Basic experience with Python scripting Interest in computer vision, machine learning, or robotics Ability to work independently and take ownership of processes Good communication skills and ability to coordinate across teams Nice to Have Experience with computer vision datasets (e.g. COCO, KITTI, YOLO formats) Experience using annotation tools (CVAT, Label Studio, Labelme, etc.) Basic understanding of object detection, tracking, or segmentation models Experience with Git / DVC Why TYTAN? Build technology with real operational impact: Develop autonomous defence systems designed to protect lives and strengthen Europe’s security Shape scalable defence capabilities: Work on solutions built for mass deployment, cost efficiency, resilience, and reliable production at scale Contribute to networked air defence: Help integrate our systems into multi-layered defence architectures alongside sensors, command systems, and effectors Develop for real-world operations: Build capabilities together with end users and improve them continuously based on direct operational feedback Move fast and take ownership: Work in a focused, high-performance team where decisions are made quickly and individual contributi…

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