Oluwole Bukola

Key Skills

Software

OneForma

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Classification

Freelancer Overview

I am a detail-oriented professional with hands-on experience in data annotation and labeling for machine learning projects, ensuring high accuracy and quality in training datasets. My background includes working remotely as a freelance data annotator, where I collaborated with teams to refine workflows, meet tight deadlines, and support clients with timely communication. I am skilled in using tools like Excel, SQL, and Power BI for data analysis and visualization, and have contributed to projects analyzing sales and accident data. My strengths include problem solving, attention to detail, and a commitment to continuous learning, making me well-equipped to support AI training data initiatives across various domains.

Labeling Experience

Audio Data Annotator

Scale AIAudioTranslation LocalizationAudio Recording

Worked on a large-scale audio annotation project, labeling audio clips for transcription, speaker identification, and emotion/sentiment detection. The project focused on improving speech recognition and AI understanding of English and regional accents. I ensured high-quality output by strictly following annotation guidelines, performing regular quality checks, and maintaining labeling accuracy above 95%, while effectively handling a diverse and sizable dataset.

Worked on a large-scale audio annotation project, labeling audio clips for transcription, speaker identification, and emotion/sentiment detection. The project focused on improving speech recognition and AI understanding of English and regional accents. I ensured high-quality output by strictly following annotation guidelines, performing regular quality checks, and maintaining labeling accuracy above 95%, while effectively handling a diverse and sizable dataset.

2025 - 2025

Data Labelling/AI Trainer

OneformaImageClassification

I worked on an image classification project on the OneForma platform aimed at improving machine learning models for visual recognition. Project Scope: The goal of the project was to categorize large volumes of real-world images into predefined classes to enhance the accuracy of AI systems. The dataset included diverse image types with variations in lighting, background noise, image quality, and object positioning. Specific Labeling Task: My primary responsibility was image classification. I reviewed each image carefully and assigned it to the most appropriate category based on detailed annotation guidelines. The categories required distinguishing subtle visual differences, which demanded strong attention to detail and consistency. In cases of ambiguity, I followed escalation protocols or flagged the images for further review. Project Size: The project involved classifying thousands of images over several weeks. I maintained a consistent daily output while ensuring high accuracy and

I worked on an image classification project on the OneForma platform aimed at improving machine learning models for visual recognition. Project Scope: The goal of the project was to categorize large volumes of real-world images into predefined classes to enhance the accuracy of AI systems. The dataset included diverse image types with variations in lighting, background noise, image quality, and object positioning. Specific Labeling Task: My primary responsibility was image classification. I reviewed each image carefully and assigned it to the most appropriate category based on detailed annotation guidelines. The categories required distinguishing subtle visual differences, which demanded strong attention to detail and consistency. In cases of ambiguity, I followed escalation protocols or flagged the images for further review. Project Size: The project involved classifying thousands of images over several weeks. I maintained a consistent daily output while ensuring high accuracy and

2025 - 2025

Education

Work History