Data Operations & Labeling Specialist (all genders)

About This Opportunity

We are representing a confidential defense technology client based in Munich. They are building next-generation autonomous systems and are currently scaling their Data Operations team. This is a hands-on role at the intersection of data operations and computer vision—perfect for someone who wants to launch their career in AI with direct impact on production ML systems.

Responsibilities

• Own the day-to-day data labeling lifecycle: curate raw field data, create annotation batches, and prepare deliveries for external labeling vendors
• Serve as the primary point of contact for external data annotation partners, 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
• Collaborate closely with Machine Learning 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 with the ability to manage multiple data batches, vendor deliveries, and QA processes simultaneously
• Strong communication skills for 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 tasks or filter data batches
• Pragmatic problem-solver who enjoys bringing order to chaotic data deliveries
• Fluent in English

Preferred:

• Familiarity with annotation formats (like COCO) and ML dataset structures
• Previous experience using data annotation platforms (CVAT, Labelbox, Scale AI, or similar)
• 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 conduct an initial screening to understand your background and confirm fit. We then submit qualified candidates to our client for consideration. Please do not attempt to contact the client directly, as all communication is managed through our recruitment process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work to ensure fair evaluation throughout our recruitment process.