Key Skills

Software

Labelbox

CVAT

Top Subject Matter

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Top Data Types

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Freelancer Overview

I am a detail-oriented Data Labeling and AI Training Specialist with hands-on experience annotating and preparing high-quality datasets for machine learning workflows. My background includes labeling text and images, performing entity tagging, text classification, and organizing structured and unstructured data for supervised learning tasks such as sentiment analysis and categorization. I am skilled in using annotation platforms like Labelbox, CVAT, and Prodigy, and I leverage Python for data processing and cleaning to ensure accuracy and consistency. I have a strong track record of following detailed annotation guidelines, conducting quality checks, and collaborating with AI teams to refine labeling processes. My technical foundation in computer science and familiarity with tools like SQL, Excel, and Git allow me to efficiently handle large datasets and contribute to reliable AI model training.

Labeling Experience

Data Collection & Research Assistant (Freelance Projects)

CVATTextData Collection

As a Data Collection & Research Assistant, I gathered and cleaned structured and unstructured datasets for AI training. I organized data into labeled categories appropriate for machine learning applications. I contributed to dataset preparation and labeled data for classification and sentiment analysis tasks. • Collected and categorized large amounts of online data for annotation. • Applied labeling and cleaning standards to improve dataset reliability. • Prepared training data for supervised learning, focusing on sentiment and classification accuracy. • Utilized annotation tools such as CVAT, Labelbox, and Prodigy for data preparation.

As a Data Collection & Research Assistant, I gathered and cleaned structured and unstructured datasets for AI training. I organized data into labeled categories appropriate for machine learning applications. I contributed to dataset preparation and labeled data for classification and sentiment analysis tasks. • Collected and categorized large amounts of online data for annotation. • Applied labeling and cleaning standards to improve dataset reliability. • Prepared training data for supervised learning, focusing on sentiment and classification accuracy. • Utilized annotation tools such as CVAT, Labelbox, and Prodigy for data preparation.

2022

AI Data Annotation Specialist (Contract)

LabelboxTextClassification

As an AI Data Annotation Specialist, I annotated and labeled datasets to support machine learning and generative AI projects. My work focused on text classification, entity tagging, and data categorization according to precise annotation guidelines. I ensured high-quality, consistent labeling and provided crucial feedback for guideline improvement. • Labeled large-scale text datasets used for supervised learning models. • Performed entity recognition and classification to enhance data quality. • Conducted comprehensive quality checks to maintain annotation accuracy. • Used annotation platforms like Labelbox, CVAT, and Prodigy for text labeling.

As an AI Data Annotation Specialist, I annotated and labeled datasets to support machine learning and generative AI projects. My work focused on text classification, entity tagging, and data categorization according to precise annotation guidelines. I ensured high-quality, consistent labeling and provided crucial feedback for guideline improvement. • Labeled large-scale text datasets used for supervised learning models. • Performed entity recognition and classification to enhance data quality. • Conducted comprehensive quality checks to maintain annotation accuracy. • Used annotation platforms like Labelbox, CVAT, and Prodigy for text labeling.

2025 - 2025

Education

Work History