Shobowale S.

Key Skills

Software

Labelbox

Roboflow

CVAT

Top Subject Matter

Technology – AI Training Data, Image/Text Annotation & Model Support

Education – Document Labeling & Learning Content Structuring

E-commerce – Product Categorization, Customer Queries & Support Data

Top Data Types

Document

Text

Image

Top Task Types

Text Generation

Classification

Entity (NER) Classification

Object Detection

Freelancer Overview

I am a detail-oriented professional with experience in education, administration, and data management, which has equipped me with strong analytical, organizational, and quality-control skills. In my teaching and administrative roles, I have worked extensively with data entry, record keeping, document review, assessment grading, and information categorization, all of which require accuracy, consistency, and adherence to established guidelines. These experiences have strengthened my ability to identify patterns, maintain high-quality standards, and work efficiently with large volumes of information. I am proficient in Microsoft Office tools and comfortable learning new software and processes quickly. My background as an educator has also developed my critical thinking, research, and communication skills, enabling me to understand complex instructions and apply them consistently. I am highly attentive to detail, able to meet deadlines, and committed to delivering accurate and reliable results, qualities that are essential for data labeling and AI training projects.

Labeling Experience

Document Data Labeling & Information Extraction Practice

DocumentText Generation

I participated in structured practice tasks involving document annotation and data labeling for AI training purposes. The work involved reviewing text-based documents and identifying key information such as names, locations, contact details, dates, and other relevant entities using predefined labeling guidelines. I gained experience in ensuring accuracy, consistency, and attention to detail while following strict annotation rules. Tasks included classifying and tagging text data for Named Entity Recognition (NER) models, as well as extracting structured information from unformatted documents. This helped strengthen my understanding of how high-quality labeled data supports machine learning model training and improved my ability to work with precision under guidelines.

2026 - Present

Education

Work History