Oluwafemi Julius Ojo

Key Skills

Software

Labelbox

Doccano

Top Subject Matter

AI training

machine learning

Natural Language Processing

Top Data Types

Image

Text

Document

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

I have hands-on experience in data labeling and AI training data preparation, working on text, image, and audio datasets to support machine learning models. My role as a freelance data annotator involves accurate labeling, tagging, data validation, and quality assurance to ensure consistency and reliability. I am proficient in tools such as Labelbox, CVAT, and Doccano, and have contributed to projects in natural language processing and computer vision, improving dataset quality and model performance. What sets me apart is my strong attention to detail, analytical mindset, and ability to maintain high accuracy under tight deadlines. I also have foundational skills in Python and SQL for data handling, along with cybersecurity knowledge that ensures secure and ethical data management. This combination allows me to deliver high-quality, well-structured datasets that support efficient and effective AI model training.

Labeling Experience

AI Data Annotation Project Contributor

DoccanoTextEntity Ner Classification

During the AI Data Annotation Project, I labeled datasets for both natural language processing (NLP) and computer vision tasks. My annotations helped improve model training efficiency and accuracy. The primary focus was on thorough categorization and entity recognition in data. • Labeled text for entity recognition and classification. • Prepared datasets suitable for NLP model fine-tuning. • Ensured correct tagging by applying annotation guidelines. • Enhanced dataset quality for downstream AI applications.

During the AI Data Annotation Project, I labeled datasets for both natural language processing (NLP) and computer vision tasks. My annotations helped improve model training efficiency and accuracy. The primary focus was on thorough categorization and entity recognition in data. • Labeled text for entity recognition and classification. • Prepared datasets suitable for NLP model fine-tuning. • Ensured correct tagging by applying annotation guidelines. • Enhanced dataset quality for downstream AI applications.

2024 - Present

Freelance Data Annotator

LabelboxImageClassification

As a Freelance Data Annotator, I labeled image, text, and audio datasets for machine learning model development. I ensured rigorous data accuracy and consistency through validation and quality control processes. My work contributed to the overall reliability and performance of AI systems. • Annotated images, text, and audio samples for diverse AI training tasks. • Maintained data quality standards using validation tools. • Used Labelbox, CVAT, and Doccano to perform annotations. • Collaborated remotely to meet project goals and deadlines.

As a Freelance Data Annotator, I labeled image, text, and audio datasets for machine learning model development. I ensured rigorous data accuracy and consistency through validation and quality control processes. My work contributed to the overall reliability and performance of AI systems. • Annotated images, text, and audio samples for diverse AI training tasks. • Maintained data quality standards using validation tools. • Used Labelbox, CVAT, and Doccano to perform annotations. • Collaborated remotely to meet project goals and deadlines.

2024 - Present

Education

Work History