Computer Vision Intern

BrightAI Corporation • Palo Alto, CA

2d

About The Position

This is an internship/temporary position for a Computer Vision Intern focused on Data Labeling & Annotation. The duration is expected to be between 6 to 12 months. Interns will gain exposure to the full computer vision pipeline, from raw data to deployed models, and receive mentorship from CV engineers working on production systems. They will also gain hands-on experience with YOLO, PyTorch, and modern annotation workflows, and contribute to concrete portfolio work such as datasets, scripts, and model contributions that are 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