Computer Vision Intern

BrightAI Corporation • Palo Alto, CA

2d

About The Position

This is an internship position focused on Data Labeling & Annotation within the field of Computer Vision. The internship is expected to last between 6 to 12 months. Interns will gain exposure to the full Computer Vision pipeline, receive mentorship from experienced CV engineers, and acquire hands-on experience with tools like YOLO and PyTorch. The role also offers the opportunity to build a concrete portfolio with datasets, scripts, and model contributions, which can be valuable for future ML/CV roles.

Requirements

• 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 Haves

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

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 arise
• 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

Benefits

• 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 This Job Offers

• Career Level: Intern
• Education Level: No Education Listed