Data Annotation Specialist

Job Summary

Producing high-fidelity annotations on imagery and video, the hybrid Data Annotation Specialist will label data to train machine learning models, ensuring adherence to project specifications and quality targets.

Key Responsibilities:

• Label static imagery and video across various sensor types and scene conditions according to project specifications
• Produce various types of annotations, including bounding boxes, segmentation masks, and multi-object tracking annotations
• Review and correct model-assisted outputs while maintaining accuracy and throughput standards across large batches

Required Qualifications:

• 1+ years of image or video annotation experience or equivalent precision work in a quality-managed production environment
• Familiarity with at least one professional annotation platform such as CVAT, V7 Darwin, or Labelbox
• Practical understanding of bounding boxes, segmentation masks, and object tracking
• Strong visual attention to detail and the ability to maintain standards across extensive datasets
• Comfortable working in remote-desktop or browser-based environments