Computer Vision Intern — Data Labeling & Annotation

Type: Internship / Temporary

Duration: 6 months - 12 months

What You'll Gain

Exposure to the full CV pipeline, from raw data to deployed model
Mentorship from CV engineers working on production systems
Hands-on experience with YOLO, PyTorch, and modern annotation workflows
Concrete portfolio work — datasets, scripts, and model contributions — that translates directly to future ML/CV roles

What You'll Do

Annotate images and video for object detection (bounding boxes), segmentation (polygons/masks), and classification
Help refine labeling schemas and class taxonomies as edge cases come up
Write Python scripts to convert between annotation formats, validate label integrity, and generate dataset statistics
QA labels and surface systematic errors or ambiguous cases
Run baseline YOLO training experiments to evaluate dataset quality and identify labeling gaps
Document conventions and edge-case decisions

Required

Nice to Have

Hands-on experience with YOLO
Familiarity with PyTorch, segmentation masks, or model-assisted labeling workflows

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