Data Operations & Labeling Specialist (all genders)

About This Opportunity

We are representing a confidential defense technology client in Munich who is building the data foundation for advanced autonomous systems. Their Data Operations team is scaling rapidly and needs a Data Operations & Labeling Specialist to bridge field operations, external labeling partners, and internal machine learning teams.

This is a hands-on role where you'll own the entire data labeling lifecycle—from raw sensor data curation through vendor management to rigorous quality assurance. If you're highly organized, detail-oriented, and excited about the intersection of data operations and computer vision, this is an exceptional entry point into AI and autonomy.

Responsibilities

• Own the day-to-day data labeling lifecycle: curate raw field data, create annotation batches, and prepare deliveries for external labeling companies
• Serve as the primary point of contact for external data annotation vendors, clarifying edge cases and providing feedback on labeling guidelines
• Conduct rigorous Quality Assurance (QA) assessments on incoming label deliveries, track error rates, and create performance reports
• Support data curation efforts, filtering and selecting the most valuable sensor data (images, video, lidar) for model training
• Work closely with ML Engineers to understand their data needs, edge cases, and specific computer vision requirements
• Help maintain the data catalog by ensuring incoming datasets are properly tagged and logged

What We're Looking For

Required:

• Highly organized and detail-oriented: you can manage multiple data batches, vendor deliveries, and QA processes simultaneously without dropping the ball
• Strong communication skills: comfortable coordinating with external vendors and writing clear, unambiguous instructions and guidelines
• Basic understanding of computer vision and machine learning concepts (e.g., bounding boxes, segmentation masks, object tracking)
• Comfortable with basic scripting (Python) and data querying (SQL) to automate small tasks or filter data batches
• Pragmatic problem-solver who enjoys bringing order to chaotic data deliveries
• Fluent in English

Nice to Have:

• Familiarity with annotation formats and ML dataset structures
• Previous experience using data annotation platforms (CVAT, Labelbox, Scale AI, etc.)
• Exposure to sensor data (RGB, Thermal, LiDAR) or robotics domains

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will screen your application and conduct an initial interview. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication flows through Get A Job.ai to ensure a smooth, professional process.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Opportunity: Get A Job.ai is committed to creating a diverse and inclusive recruitment process. We welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.