Kolawole Awoleye

Key Skills

Software

Appen

Top Subject Matter

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Top Data Types

Image

Top Label Types

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Freelancer Overview

I am a detail-oriented AI trainer and data annotator with over three years of hands-on experience annotating and labeling text, image, audio, and video datasets for machine learning and NLP applications. My work has involved processing more than 100,000 data samples, ensuring a consistently high accuracy rate of 97–99% in annotation tasks. I am fluent in both English and Yoruba, allowing me to create and validate high-quality, culturally relevant multilingual datasets. My expertise spans the use of industry-standard annotation platforms like Labelbox, Prodigy, Scale AI, Surge AI Console, Toloka, and Appen, as well as data management tools such as Google Sheets and Excel. I am skilled in guideline interpretation, dataset validation, prompt writing, and error detection, and I am passionate about building scalable, bias-aware AI solutions. I thrive in collaborative environments and am committed to continuous learning and improving dataset quality for robust AI model performance.

Labeling Experience

Experience

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AI Image Annotation Project Smart Retail Vision System Annotated 10,000+ retail images using Label box and Super Annotate, applying bounding boxes and product classification tags. Achieved 98% annotation accuracy and contributed to a 21% reduction in labeling errors through rigorous QA, guideline compliance, and workflow improvements.

AI Image Annotation Project Smart Retail Vision System Annotated 10,000+ retail images using Label box and Super Annotate, applying bounding boxes and product classification tags. Achieved 98% annotation accuracy and contributed to a 21% reduction in labeling errors through rigorous QA, guideline compliance, and workflow improvements.

2020 - 2025

Education

Work History