Data Operations & Labeling Specialist (all genders)
Core
Bridge between raw field data, external labeling partners, and internal ML teams to ensure AI models are trained on high-quality data.
Role type
Data Operations & Labeling Specialist
Builds
Ready-to-use datasets for perception and autonomy systems
Domain
Defense technology, Computer Vision, Autonomous Systems
Deliverable
production ML models
Required skills
Data curation, Vendor management, Quality Assurance (QA), Data filtering, Basic Python scripting, SQL querying
Preferred skills
Annotation format familiarity (COCO), Data annotation platform experience (CVAT, Labelbox, Scale AI), Sensor data exposure (RGB, Thermal, LiDAR)
Technologies
Python, SQL, CVAT, Labelbox, Scale AI, COCO
Responsibilities
Curate raw field data and create annotation batches, Manage external data annotation vendors, Conduct QA assessments on incoming labels, Support data curation efforts, Collaborate with ML Engineers on data needs, Maintain data catalog
Seniority
Individual Contributor
