Kessington O.

Key Skills

Software

No software listed

Top Subject Matter

AI and machine learning dataset labeling (text)

AI and machine learning dataset labeling (images)

AI and machine learning dataset labeling (audio)

Top Data Types

Text

Image

Audio

Document

Top Task Types

Classification

Segmentation

Transcription

Freelancer Overview

Data Annotation Specialist. Brings 19+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Science, University of Benin (2012) and Diploma in Accounting, University of Benin (2007). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification, Segmentation, and Transcription.

Labeling Experience

Data Annotation Specialist

AudioTranscription

Annotated audio datasets to support AI and machine learning workflows, ensuring outputs aligned with dataset requirements. Maintained annotation quality through structured validation practices and accuracy-focused reviews. Coordinated with technical teams to address dataset inconsistencies and refine labeling standards. • Audio dataset annotation for AI/ML workflows • Quality assurance and validation of labeled outputs • Team collaboration to address inconsistencies • Continuous refinement of labeling standards

2016 - 2025

Data Annotation Specialist

ImageSegmentation

Annotated image datasets for AI and machine learning applications using labeling processes designed for reliable dataset preparation. Performed quality checks to ensure labels met accuracy requirements and dataset consistency expectations. Worked with technical teams to identify and correct issues in the labeled data and strengthen labeling guidelines. • Image dataset annotation for AI/ML applications • Accuracy-focused quality assurance and validation • Collaboration to correct labeling inconsistencies • Improvement of labeling standards with technical partners

2016 - 2025

Data Annotation Specialist

TextClassification

Annotated text datasets for AI and machine learning use cases while applying consistent labeling guidelines and quality checks. Maintained high annotation accuracy through rigorous quality assurance and verification of dataset consistency. Collaborated with technical teams to resolve labeling inconsistencies and improve overall labeling standards. • Text dataset annotation for AI/ML applications • Quality assurance to maintain annotation accuracy above 90% • Resolving dataset inconsistencies with technical teams • Supporting continuous improvement of labeling standards

2016 - 2025

Education

Work History