Computer Vision Intern

Responsibilities

• 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
• Pursuing a degree in CS, EE, AI/ML, or related field
• Working knowledge of Python and common CV libraries (NumPy, OpenCV)
• Attention to detail and patience for precision work

Requirements

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

Benefits

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Company Intel

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