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.
ResponsibilitiesAnnotate and curate perception datasets using our internal annotation tools and help improve itMaintain and improve the quality of existing labeled datasetsOrganize and manage large-scale perception datasets and recording structures (UAV with cameras)Coordinate with the flight testing team to plan and collect new training dataAssist with organizing recorded flight data and metadata Your ProfileCurrently enrolled in Computer Science, Robotics, Electrical Engineering, or a related technical fieldStrong attention to detail and ability to produce high-quality, consistent annotationsComfortable working with Linux-based systemsBasic experience with Python scriptingInterest in computer vision, machine learning, or roboticsAbility to work independently and take ownership of processesGood communication.
COCO, KITTI, YOLO formats)Experience using annotation tools (CVAT, Label Studio, Labelme, etc.
)Basic understanding of object detection, tracking, or segmentation modelsExperience with Git / DVCWhy TYTAN?Build technology with real operational impact: Develop autonomous defence systems designed to protect lives and strengthen Europe’s securityShape scalable defence capabilities: Work on solutions built for mass deployment, cost efficiency, resilience, and reliable production at scaleContribute to networked air defence: Help integrate ou.