Jayashree Paul

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Video

Top Label Types

Bounding Box

Freelancer Overview

I am a detail-oriented professional with hands-on experience in data annotation and AI training data projects, particularly in video data labeling for computer vision applications. My work includes frame-by-frame and temporal annotation to identify actions, events, and object movements, ensuring accuracy and consistency by closely following project guidelines and conducting self-quality checks. I have also contributed as a freelancer to AI content tagging and interface design, developing tagging logic based on sentiment and relevance, and supporting metadata-driven content recommendation systems. My background in digital operations, strong analytical skills, and proficiency with tools like MS Office, Google Suite, and basic reporting enable me to efficiently manage data workflows and deliver reliable ground-truth data for AI/ML model training. I am adaptable, quick to learn new platforms, and committed to maintaining high standards in dynamic, collaborative environments.

Labeling Experience

Data Annotation

CVATVideoBounding Box

I worked on a large-scale data labeling project focused on annotating visual data for machine learning model training and evaluation. The scope of the project included image and video annotation tasks such as object classification, bounding box labeling, occlusion handling, and angle/pose identification based on defined guidelines. I consistently followed detailed annotation rules, quality benchmarks, and task-specific instructions to ensure accuracy and consistency. The project involved handling high volumes of data while maintaining strict quality standards through self-review and system-based quality checks.

I worked on a large-scale data labeling project focused on annotating visual data for machine learning model training and evaluation. The scope of the project included image and video annotation tasks such as object classification, bounding box labeling, occlusion handling, and angle/pose identification based on defined guidelines. I consistently followed detailed annotation rules, quality benchmarks, and task-specific instructions to ensure accuracy and consistency. The project involved handling high volumes of data while maintaining strict quality standards through self-review and system-based quality checks.

2024 - 2025

Education

Work History