Working Student - Labelling (f/m/d)

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