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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