Jefferson Asare

Key Skills

Software

CVAT

Doccano

Labelbox

LabelImg

Prodigy

SuperAnnotate

Tagtog

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Classification

Data Collection

Object Detection

Text Summarization

Tracking

Freelancer Overview

I am an entry level AI data labeling and AI training data contributor with hands on experience using tools such as CVAT, Doccano, Labelbox, LabelImg, Prodigy, SuperAnnotate, and Tagtog. I have worked with different data types including text, images, and documents, helping prepare datasets for machine learning models. My experience includes tasks like data classification, data collection, object detection, text summarization, and basic tracking, while following clear annotation guidelines and quality standards. I am particularly interested in computer vision and visual data annotation, as well as NLP data labeling and text intelligence tasks. I also have some exposure to surveillance and monitoring related AI data projects. I pay close attention to detail, I learn new tools quickly, and I am comfortable working on repetitive tasks that require consistency and accuracy. I am motivated to grow in the AI training field and contribute reliably to data labeling projects while improving my technical and annotation skills over time.

Labeling Experience

Text Data Labelling and NLP Annotation Project

LabelboxTextClassificationText Summarization

This project involved text based data labeling to support NLP and language model training. I worked on tasks such as text classification, summarization, and structured data collection based on predefined labeling rules. The work required careful reading, consistent tagging, and following clear annotation instructions. I used tools including Doccano, Prodigy, Tagtog, and Labelbox to label and review text datasets. Quality was maintained by checking for consistency, correcting errors, and making sure labels matched the required categories. This project helped me build a solid foundation in NLP data annotation and improved my attention to detail, reading accuracy, and understanding of text based AI training workflows.

This project involved text based data labeling to support NLP and language model training. I worked on tasks such as text classification, summarization, and structured data collection based on predefined labeling rules. The work required careful reading, consistent tagging, and following clear annotation instructions. I used tools including Doccano, Prodigy, Tagtog, and Labelbox to label and review text datasets. Quality was maintained by checking for consistency, correcting errors, and making sure labels matched the required categories. This project helped me build a solid foundation in NLP data annotation and improved my attention to detail, reading accuracy, and understanding of text based AI training workflows.

2025 - 2025

Entry Level AI Data Labeling and Annotation Project

LabelboxImageClassificationObject Detection

This project focused on image based data labeling for computer vision model training with Data Annotation. I worked on annotating image datasets using classification and object detection tasks, mainly drawing bounding boxes and labeling objects based on provided guidelines. Some tasks also involved basic tracking across image frames where required. The work was completed using tools such as CVAT, Labelbox, LabelImg, and SuperAnnotate. I followed strict annotation instructions, paid close attention to object boundaries, and reviewed my work to reduce errors and inconsistencies. This project helped me build practical experience in image annotation workflows and improve my accuracy, attention to detail, and understanding of computer vision data requirements.

This project focused on image based data labeling for computer vision model training with Data Annotation. I worked on annotating image datasets using classification and object detection tasks, mainly drawing bounding boxes and labeling objects based on provided guidelines. Some tasks also involved basic tracking across image frames where required. The work was completed using tools such as CVAT, Labelbox, LabelImg, and SuperAnnotate. I followed strict annotation instructions, paid close attention to object boundaries, and reviewed my work to reduce errors and inconsistencies. This project helped me build practical experience in image annotation workflows and improve my accuracy, attention to detail, and understanding of computer vision data requirements.

2025 - 2025

Education

Work History