Jhon Mark Almazan

Key Skills

Software

CVAT

Doccano

Labelbox

LabelImg

Prodigy

Remotasks

SuperAnnotate

Supervisely

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Bounding Box

Classification

Segmentation

Freelancer Overview

I am an Intermediate-level AI Data Labeler & Annotation Specialist with a strong background in administrative support, data entry, and digital task management. Skilled in handling text, image, and audio data, I bring accuracy, attention to detail, and consistency to every annotation project. My experience in customer support and online operations has sharpened my ability to follow guidelines, manage information efficiently, and deliver reliable results under tight deadlines. I am proficient with productivity and collaboration tools such as Google Workspace, Microsoft Office, Trello, and Slack, and I am familiar with annotation platforms like LabelImg, CVAT, and Doccano. With excellent problem-solving skills, adaptability, and a commitment to quality, I am eager to contribute to AI training datasets and support the development of intelligent systems through precise and high-quality data labeling.

Labeling Experience

E-commerce Product Image Annotation

LabelimgImageBounding BoxSegmentation

Labeled and categorized thousands of product images to train AI models for improved search relevance and product recommendations. Applied bounding boxes and segmentation techniques to accurately capture object boundaries and attributes. Ensured labeling consistency by following strict project guidelines and performing multiple rounds of quality checks. Delivered high-quality annotated data within set deadlines, supporting the development of accurate and reliable computer vision systems.

Labeled and categorized thousands of product images to train AI models for improved search relevance and product recommendations. Applied bounding boxes and segmentation techniques to accurately capture object boundaries and attributes. Ensured labeling consistency by following strict project guidelines and performing multiple rounds of quality checks. Delivered high-quality annotated data within set deadlines, supporting the development of accurate and reliable computer vision systems.

2024

Social Media Text Sentiment Annotation

DoccanoTextEntity Ner ClassificationClassification

Annotated social media posts and customer reviews for sentiment analysis (positive, neutral, negative) and flagged inappropriate or harmful content. Labeled entities such as names, organizations, and locations (NER) while classifying emotional tone to train natural language processing (NLP) models. Maintained high consistency and accuracy by following project-specific labeling guidelines and performing regular quality checks.

Annotated social media posts and customer reviews for sentiment analysis (positive, neutral, negative) and flagged inappropriate or harmful content. Labeled entities such as names, organizations, and locations (NER) while classifying emotional tone to train natural language processing (NLP) models. Maintained high consistency and accuracy by following project-specific labeling guidelines and performing regular quality checks.

2025 - 2025

Education

Work History