Eze Praise

Key Skills

Software

Labelbox

Label Studio

Prodigy

Scale AI

SuperAnnotate

Lionbridge

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Action Recognition

Bounding Box

Emotion Recognition

Entity (NER) Classification

Text Summarization

Freelancer Overview

I have hands-on experience in data labeling and AI training, with a strong background in evaluating text, improving model outputs, and ensuring high-quality annotated datasets. My work involves text classification, sentiment analysis, search relevance rating, content moderation, and AI response evaluation, giving me a well-rounded understanding of how structured data supports machine learning models. I am detail-oriented, consistent, and able to apply complex guidelines accurately across large volumes of work. I have practical experience in performing high-precision labeling tasks and relevance judgments for search engines. Through this role, I strengthened my ability to analyze content, understand user intent, and provide reliable annotations that help improve AI systems. My adaptability, strong communication skills, and commitment to quality make me an asset to any AI training or data annotation project.

Labeling Experience

Data labeling

LionbridgeImageBounding BoxObject Detection

I have practical experience working with Lionbridge/TELUS International on data annotation tasks, particularly using CVAT for image-only and bounding-box labeling. My work involved accurately annotating fast-moving objects, applying attributes such as occlusion or blur, and maintaining consistency across large datasets. I’m comfortable following detailed project guidelines, performing quality checks, and meeting productivity targets while keeping accuracy high. Through my annotation projects with Lionbridge, I’ve developed a strong workflow in CVAT, object detection labeling, and precise frame-by-frame decision-making.

I have practical experience working with Lionbridge/TELUS International on data annotation tasks, particularly using CVAT for image-only and bounding-box labeling. My work involved accurately annotating fast-moving objects, applying attributes such as occlusion or blur, and maintaining consistency across large datasets. I’m comfortable following detailed project guidelines, performing quality checks, and meeting productivity targets while keeping accuracy high. Through my annotation projects with Lionbridge, I’ve developed a strong workflow in CVAT, object detection labeling, and precise frame-by-frame decision-making.

2025 - 2025

Education

Work History