Key Skills

Software

CVAT

Labelbox

Top Subject Matter

First-person video annotation for daily activity recognition

Household task segmentation and action recognition

Daily activity video annotation for action classification

Top Data Types

Video

Top Task Types

Action Recognition

Freelancer Overview

Freelance Data Annotation Contributor. Core strengths include CVAT, Labelbox, and Scale AI platforms. Education includes High School Diploma, N/A (2025). AI-training focus includes data types such as Video and labeling workflows including Action Recognition.

Labeling Experience

Freelance Data Annotation Contributor

CVATVideoAction Recognition

As a freelance data annotation contributor, I segmented and labeled egocentric video datasets for AI training. My work involved producing structured action intervals and natural-language descriptions to facilitate model understanding. I maintained high accuracy and guideline adherence across complex, real-world activity footage. • Segmented videos into 50–100+ precise action intervals per session • Crafted clear and concise labels for improved dataset usability • Conducted pre-annotation quality control to ensure timestamp and footage integrity • Enhanced annotation speed through workflow optimizations while upholding quality

As a freelance data annotation contributor, I segmented and labeled egocentric video datasets for AI training. My work involved producing structured action intervals and natural-language descriptions to facilitate model understanding. I maintained high accuracy and guideline adherence across complex, real-world activity footage. • Segmented videos into 50–100+ precise action intervals per session • Crafted clear and concise labels for improved dataset usability • Conducted pre-annotation quality control to ensure timestamp and footage integrity • Enhanced annotation speed through workflow optimizations while upholding quality

2025 - Present

Action Recognition & Labeling Practice Dataset

CVATVideoAction Recognition

I created and annotated a personal practice dataset to develop finer action classification skills using egocentric video. This initiative allowed me to distinguish and label visually similar daily activities with improved specificity. I focused on both recognition accuracy and descriptive clarity for each action label. • Built and curated a video dataset of common daily actions for annotation • Labeled nuanced distinctions such as placing versus dropping and holding versus adjusting • Emphasized intent and motion clarity in every descriptive annotation • Used this practice to enhance proficiency for future AI training contributions

I created and annotated a personal practice dataset to develop finer action classification skills using egocentric video. This initiative allowed me to distinguish and label visually similar daily activities with improved specificity. I focused on both recognition accuracy and descriptive clarity for each action label. • Built and curated a video dataset of common daily actions for annotation • Labeled nuanced distinctions such as placing versus dropping and holding versus adjusting • Emphasized intent and motion clarity in every descriptive annotation • Used this practice to enhance proficiency for future AI training contributions

2025 - 2025

Household Activity Video Annotation Project

CVATVideoAction Recognition

In a household activity annotation project, I labeled over 200 minutes of first-person task footage for AI dataset development. My efforts focused on breaking down complex sequences into atomic actions and documenting them with precision. The project emphasized workflow consistency, detailed hand usage labeling, and comprehensive segmentation for model training. • Labeled granular action units such as object pickup, transition, and placement • Annotated hand usage (left/right/both) across all video segments • Developed and refined annotation processes to reduce errors • Achieved an internal consistency validation score above 95%

In a household activity annotation project, I labeled over 200 minutes of first-person task footage for AI dataset development. My efforts focused on breaking down complex sequences into atomic actions and documenting them with precision. The project emphasized workflow consistency, detailed hand usage labeling, and comprehensive segmentation for model training. • Labeled granular action units such as object pickup, transition, and placement • Annotated hand usage (left/right/both) across all video segments • Developed and refined annotation processes to reduce errors • Achieved an internal consistency validation score above 95%

2025 - 2025

Education

Work History