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Khaliq Olawale

Khaliq Olawale

Freelance Data Labeler / AI Content Evaluator

Nigeria flagRemote, Nigeria
$15.00/hrIntermediateLabelboxCVATLabelimg

Key Skills

Software

LabelboxLabelbox
CVATCVAT
LabelImgLabelImg

Top Subject Matter

AI Training & Quality Evaluation
Natural Language Processing
Social Media & Marketing

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Bounding BoxBounding Box
Object DetectionObject Detection

Freelancer Overview

Freelance Data Labeler / AI Content Evaluator. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. My background in writing and research helps me understand context quickly and label data more accurately. I’ve also handled tasks like text categorization, intent labeling, and basic sentiment analysis. With my research experience and attention to detail, I’m able to deliver clean, reliable data that actually helps improve AI performance.

IntermediateEnglish

Labeling Experience

Freelance Data Labeler / AI Content Evaluator

OtherTextClassification
I labeled and categorized text data for AI training based on predefined guidelines. I reviewed and evaluated AI-generated responses to ensure accuracy, clarity, and relevance. My work maintained high consistency across large datasets while adhering to project deadlines. • Identified errors and inconsistencies in labeled data and applied corrections. • Followed detailed project instructions for quality assurance. • Focused on accuracy and attention to detail throughout the annotation process. • Managed large data volumes independently in a remote setting.

I labeled and categorized text data for AI training based on predefined guidelines. I reviewed and evaluated AI-generated responses to ensure accuracy, clarity, and relevance. My work maintained high consistency across large datasets while adhering to project deadlines. • Identified errors and inconsistencies in labeled data and applied corrections. • Followed detailed project instructions for quality assurance. • Focused on accuracy and attention to detail throughout the annotation process. • Managed large data volumes independently in a remote setting.

2025 - Present

entiment Analysis & Text Categorization for Social Media Data

TextClassification
Annotated 2,000+ social media posts and user comments, classifying sentiment (positive, negative, neutral) and organizing content into relevant thematic categories. Handled informal language, slang, and ambiguous expressions using structured annotation guidelines. Ensured consistency and accuracy across diverse datasets through careful review and guideline adherence.

Annotated 2,000+ social media posts and user comments, classifying sentiment (positive, negative, neutral) and organizing content into relevant thematic categories. Handled informal language, slang, and ambiguous expressions using structured annotation guidelines. Ensured consistency and accuracy across diverse datasets through careful review and guideline adherence.

2025 - 2025

Image Annotation for Object Detection in Sports Equipment

ImageBounding Box
Annotated 2,000+ images of sports equipment using bounding boxes for object detection tasks. Ensured accurate labeling across varying image conditions, including different angles and lighting. Maintained tight bounding box precision and followed strict annotation guidelines, achieving consistent quality across the dataset. Performed regular reviews to minimize labeling errors and improve dataset reliability.

Annotated 2,000+ images of sports equipment using bounding boxes for object detection tasks. Ensured accurate labeling across varying image conditions, including different angles and lighting. Maintained tight bounding box precision and followed strict annotation guidelines, achieving consistent quality across the dataset. Performed regular reviews to minimize labeling errors and improve dataset reliability.

2025 - 2025

Named Entity Recognition (NER) for Healthcare Text Data

TextEntity Ner Classification
Labeled 2,500+ healthcare-related text samples, identifying entities such as medical conditions, treatments, and anatomical terms. Leveraged physiotherapy background to improve contextual accuracy in complex medical data. Maintained high precision and low error rates by adhering strictly to annotation protocols and performing multiple quality checks on sensitive data.

Labeled 2,500+ healthcare-related text samples, identifying entities such as medical conditions, treatments, and anatomical terms. Leveraged physiotherapy background to improve contextual accuracy in complex medical data. Maintained high precision and low error rates by adhering strictly to annotation protocols and performing multiple quality checks on sensitive data.

2025 - 2025

Education

O

Obafemi Awolowo University

Bachelor of Medical Rehabilitation, Physiotherapy: Medical Rehabilitation

Bachelor of Medical Rehabilitation
2017 - 2024

Work History

S

Self-Employed

Freelance Creative Writer

Remote
2023 - Present
O

Obafemi Awolowo University Teaching Hospitals Complex

Intern Physiotherapist

Ile-Ife
2025 - 2026