Omotola Olasunkanmi

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Polygon

Segmentation

Object Detection

Freelancer Overview

With over four years of experience designing structured digital workflows, I specialize in organizing, categorizing, and standardizing high-volume datasets across creator, technical, and blockchain ecosystems. As a blockchain Web3 builder, I have worked extensively with structured on-chain data, research synthesis, and ecosystem documentation applying clear taxonomies and evaluation rubrics to ensure consistency and accuracy. My experience includes flagging inconsistencies in classification systems, organizing complex research into labeled formats, and translating creative or technical outputs into structured data suitable for AI training and model evaluation. I bring a hybrid skill set that combines analytical precision with technical execution. Proficient in HTML, CSS, JavaScript, and React, I understand structured data and systems architecture at a deeper level, enabling me to contribute effectively to annotation workflows within ML pipelines. My background in content operations, research structuring, and community moderation has strengthened my ability to follow detailed guidelines, identify edge cases, and maintain high labeling accuracy. Continuous learning in applied machine learning and data annotation methodologies further reinforces my ability to support AI training and data quality initiatives at scale.

Labeling Experience

Data Labelling for object

CVATImagePolygonSegmentation

Completed a hands-on applied machine learning project focused on data annotation and structured labeling within ML pipelines. This project strengthened my ability to transform unstructured content into clean, machine-readable data and reinforced my transition from structured Web3 and blockchain systems into AI training and data quality workflows.

Completed a hands-on applied machine learning project focused on data annotation and structured labeling within ML pipelines. This project strengthened my ability to transform unstructured content into clean, machine-readable data and reinforced my transition from structured Web3 and blockchain systems into AI training and data quality workflows.

2025

Education

Work History