Computer Vision Intern
BrightAI Corporationabout 4 hours ago
Palo Alto, CA, USAIntern
Responsibilities
- Annotate images and video for object detection, segmentation, and classification.
- Help refine labeling schemas and class taxonomies.
- Write Python scripts to convert annotation formats and validate label integrity.
- QA labels and identify systematic errors or ambiguous cases.
- Run baseline YOLO training experiments to evaluate dataset quality.
- Document conventions and edge-case decisions.
Requirements
- Pursuing a degree in Computer Science, Electrical Engineering, AI/ML, or a related field.
- Working knowledge of Python and common computer vision libraries like NumPy and OpenCV.
- Attention to detail and patience for precision work.
Benefits
- Exposure to the full computer vision 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 that translates directly to future ML/CV roles.