BrightAI Corporation
Computer Vision Intern
TLDR
Gain hands-on experience in computer vision, collaborating with engineers to improve image and video annotation processes using tools like YOLO and PyTorch.
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
- 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
Nice to Have
- Hands-on experience with YOLO
- Familiarity with PyTorch, segmentation masks, or model-assisted labeling workflows
BrightAI Corporation builds an intelligent automation platform that helps businesses effectively interact with the physical world by processing vast amounts of visual, spatial, and temporal data in real time. Targeted at organizations seeking to leverage data from edge devices and sensors, our solution stands out by delivering actionable insights from billions of real-world events.