Data Operations & Labeling Specialist (All Genders)
Job description
Data labeling operations role at a defence technology company, owning the day-to-day data labeling lifecycle and quality assurance of annotation deliveries for AI and Computer Vision models.
At a glance
- Work mode
- Remote
- Languages
- English – fluent
What you'll do
- 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
- Highly organized and detail-oriented: able to manage multiple data batches, vendor deliveries, and QA processes simultaneously
- Strong communication skills: comfortable coordinating with external vendors and writing clear, unambiguous instructions/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
- Eligible to obtain and maintain the appropriate security clearance required for this position
Your team
Data Operations
Builds and maintains the core data pipelines, sensor logging, and annotation workflows that feed AI and perception models; works closely with ML Engineers, perception experts, and external labeling partners.
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About Stark
Forging the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision
A defence technology company combining elite engineering talent with agile technology and an AI-native operational culture to turn complex defence challenges into field-tested, multi-domain solutions.
Mission
To equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world's most demanding environments
Key facts
- Berlin, Germany
- Defence technology
- Works on autonomous systems, advanced propulsion, and secure cyber platforms
- Serves NATO Allies and their partners
- Legal entity: SKD SE, Französische Str. 12, 10117 Berlin
- Registered at Amtsgericht Charlottenburg under HRB 260878 B
What they value
- Relentless innovation
- Bold ideas supported by serious R&D backing