Computer Vision Intern
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BrightAI Corporation
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Computer Vision Intern
BrightAI Corporation
Posted 3 months ago
Internship
Palo Alto, California
In Person
Smart Summary
Responsibilities
The intern will annotate images and videos for object detection and segmentation while refining labeling schemas. They will also write Python scripts for data validation and run baseline YOLO experiments to evaluate dataset quality.
Qualifications
You are pursuing a degree in Computer Science, Electrical Engineering, AI/ML, or a related field. You have a working knowledge of Python and common Computer Vision libraries like NumPy and OpenCV. Your attention to detail and patience will be critical for precision work in image and video annotation.
Must Have Skills for ATS
Python
NumPy
OpenCV
YOLO
PyTorch
Job Description
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
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BrightAI Corporation
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