Chibuzor J.

Key Skills

Software

Other

Top Subject Matter

Machine learning datasets for text classification

Computer vision datasets for object labeling

AI/ML dataset preparation for supervised learning

Top Data Types

Text

Image

Video

Top Task Types

Classification

Object Detection

Freelancer Overview

Freelance Data Annotation Practice (Self-Directed) — Text Classification Annotation Project. Core strengths include Other. Education includes Bachelor of Science, Enugu State University of Science and Technology (2023). AI-training focus includes data types such as Text, Image, and Video and labeling workflows including Classification and Object Detection.

Labeling Experience

Freelance Data Annotation Practice (Self-Directed Projects) — Video/Multimodal Annotation & QC

OtherVideoClassification

Annotated video datasets following specified guidelines for the intended machine learning task. Ensured each labeled element met the project’s accuracy and consistency expectations. Performed quality assurance steps by reviewing and correcting labels as needed. • Annotated video datasets per given guidelines • Applied accuracy and consistency checks • Reviewed and corrected outputs for quality • Ensured labels aligned with project requirements

2025 - Present

Freelance Data Annotation Practice (Self-Directed) — Image Annotation Project

OtherImageObject Detection

Labeled objects and visual features in images according to project requirements and labeling instructions. Verified annotations for completeness and correctness to support downstream model training. Performed consistency and quality checks to improve reliability of the labeled dataset. • Labeled objects and features in images • Checked annotations for completeness • Reviewed correctness against requirements • Improved image label quality through verification

2025 - Present

Freelance Data Annotation Practice (Self-Directed) — Text Classification Annotation Project

OtherTextClassification

Performed text dataset annotation based on provided guidelines and predefined classes. Ensured labels were consistent across samples by following detailed instructions and validating outputs. Conducted quality checks to confirm annotation accuracy and completeness before finalizing records. • Categorized text samples into predefined classes • Applied guideline-based labeling for each text instance • Performed validation checks to reduce label errors • Maintained consistency across annotations using provided instructions

2025 - Present

Education

Work History