Working Student - Labelling (f/m/d)
On-site · Munich, Bavaria, Germany
Job Summary
Working Student in Data Labeling: annotate and curate perception datasets using internal tools, maintain and improve labeled datasets, organize large-scale UAV recording data structures, coordinate with flight testing to collect training data, and assist with organizing recorded flight data and metadata. Requires enrollment in a technical program (CS/Robotics/EE or related), attention to detail, Linux familiarity, basic Python scripting, interest in computer vision or ML, independence, and good cross-team communication. Nice-to-have experience with CV datasets (COCO, KITTI, YOLO), annotation tools (CVAT, Label Studio, Labelme), understanding of object detection/tracking/segmentation models, and Git/DVC experience. TYTAN emphasizes autonomy, growth, and inclusivity, with security-clearance considerations noted.
Required Qualifications
- 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
Additional Requirements
- Security clearance requirements may affect the application process
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