Key Skills

Software

CVAT

Labelbox

LabelImg

Top Subject Matter

Computer Vision

Natural Language Processing

Top Data Types

Image

Text

Top Task Types

Bounding Box

Entity (NER) Classification

Freelancer Overview

Data Annotator (Remote). Core strengths include CVAT, Labelbox, and LabelImg. AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Entity (NER) Classification.

Labeling Experience

Data Annotator (Remote)

CVATTextEntity Ner Classification

I carried out annotation tasks for NLP datasets, focusing on sentiment analysis and entity tagging. Work involved classifying text for natural language processing training data. Each labeled set followed strict QA standards to ensure maximum utility for AI models. • Executed NLP labeling and classification tasks in various tools. • Annotated data for sentiment analysis and named entity recognition. • Organized and validated labeled datasets in structured formats. • Ensured accuracy and consistency aligning with project goals.

I carried out annotation tasks for NLP datasets, focusing on sentiment analysis and entity tagging. Work involved classifying text for natural language processing training data. Each labeled set followed strict QA standards to ensure maximum utility for AI models. • Executed NLP labeling and classification tasks in various tools. • Annotated data for sentiment analysis and named entity recognition. • Organized and validated labeled datasets in structured formats. • Ensured accuracy and consistency aligning with project goals.

2021 - Present

Data Annotator (Remote)

CVATImageBounding Box

I performed data annotation tasks for computer vision projects using bounding box and segmentation techniques. The data consisted of images processed for machine learning model training and validation. Quality assurance was strictly maintained, achieving over 95% accuracy throughout all projects. • Utilized CVAT, Labelbox, and LabelImg for precise annotation tasks. • Collaborated on segmentation and classification for computer vision datasets. • Managed data in Excel, Google Sheets, JSON, and CSV formats. • Adhered to established QA workflows to ensure high-quality datasets.

I performed data annotation tasks for computer vision projects using bounding box and segmentation techniques. The data consisted of images processed for machine learning model training and validation. Quality assurance was strictly maintained, achieving over 95% accuracy throughout all projects. • Utilized CVAT, Labelbox, and LabelImg for precise annotation tasks. • Collaborated on segmentation and classification for computer vision datasets. • Managed data in Excel, Google Sheets, JSON, and CSV formats. • Adhered to established QA workflows to ensure high-quality datasets.

2021 - Present

Education

Work History