Brian Vang

Key Skills

Software

Labelbox

Top Subject Matter

Machine Learning Training Data

Top Data Types

Image

Top Task Types

Object Detection

Freelancer Overview

AI Training Specialist. Core strengths include Labelbox. Education includes Trinity School (2012) and Harvard University (2019). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

Labeling Experience

AI Data Annotation Specialist – Multi-Modal Dataset Labeling

VideoBounding Box

Performed video annotation for human activity recognition projects by identifying and labeling specific actions such as walking, running, interacting with objects, and other behaviors. Segmented video clips into meaningful sequences and tagged actions with precise timestamps. Helped train AI models to understand motion patterns and behavior analysis. Handled large datasets and ensured accurate labeling by reviewing edge cases and maintaining consistency across similar action categories.

Performed video annotation for human activity recognition projects by identifying and labeling specific actions such as walking, running, interacting with objects, and other behaviors. Segmented video clips into meaningful sequences and tagged actions with precise timestamps. Helped train AI models to understand motion patterns and behavior analysis. Handled large datasets and ensured accurate labeling by reviewing edge cases and maintaining consistency across similar action categories.

2024 - Present

AI Data Annotation Specialist – Multi-Modal Dataset Labeling

ImageBounding Box

Worked on large-scale AI training datasets involving image, video, and audio annotation. Performed detailed object detection using bounding boxes and segmentation techniques for computer vision models, including use of YOLO formats. Annotated video frames for object tracking and activity recognition tasks. Handled audio data labeling, including transcription and sound classification for speech recognition systems. Used tools such as Labelbox and CVAT to ensure accurate and consistent annotations across datasets exceeding 100,000+ data points. Maintained strict quality control by following annotation guidelines, performing peer reviews, and achieving high accuracy standards. Collaborated with machine learning teams to refine labeling strategies and improve model performance.

Worked on large-scale AI training datasets involving image, video, and audio annotation. Performed detailed object detection using bounding boxes and segmentation techniques for computer vision models, including use of YOLO formats. Annotated video frames for object tracking and activity recognition tasks. Handled audio data labeling, including transcription and sound classification for speech recognition systems. Used tools such as Labelbox and CVAT to ensure accurate and consistent annotations across datasets exceeding 100,000+ data points. Maintained strict quality control by following annotation guidelines, performing peer reviews, and achieving high accuracy standards. Collaborated with machine learning teams to refine labeling strategies and improve model performance.

2022 - 2024

AI Training Specialist

LabelboxImageObject Detection

As an AI Training Specialist, I performed data labeling and annotation on images, videos, and audio datasets to train machine learning models. I focused on ensuring high-quality, consistent labels to improve dataset accuracy. My workflow included using specialized tools such as Labelbox and YOLO for object detection and annotation tasks. • Provided detailed data annotations for various AI applications across multiple media types. • Worked in collaboration with teams to refine annotation guidelines and processes. • Used Labelbox and YOLO to streamline labeling workflows and boost dataset quality. • Maintained strict quality control and attention to detail in every annotation task.

As an AI Training Specialist, I performed data labeling and annotation on images, videos, and audio datasets to train machine learning models. I focused on ensuring high-quality, consistent labels to improve dataset accuracy. My workflow included using specialized tools such as Labelbox and YOLO for object detection and annotation tasks. • Provided detailed data annotations for various AI applications across multiple media types. • Worked in collaboration with teams to refine annotation guidelines and processes. • Used Labelbox and YOLO to streamline labeling workflows and boost dataset quality. • Maintained strict quality control and attention to detail in every annotation task.

2021 - 2024

Education

Work History