Computer Vision Engineer
Core
Annotate images and video for object detection, segmentation, and classification to support computer vision model development.
Role type
Data labeling intern (computer vision)
Builds
Labeled datasets for object detection and segmentation models
Domain
Computer Vision / Data Annotation
Deliverable
production ML models
Required skills
Python, NumPy, OpenCV, image/video annotation, bounding boxes, polygons/masks, classification, QA validation, dataset statistics
Preferred skills
YOLO, PyTorch, segmentation masks, model-assisted labeling workflows
Responsibilities
Annotate images and video for object detection, segmentation, and classification; Refine labeling schemas and class taxonomies; Write Python scripts to convert annotation formats and validate label integrity; QA labels and surface systematic errors; Run baseline YOLO training experiments to evaluate dataset quality; Document conventions and edge-case decisions