Toluwase O.

Key Skills

Software

LabelImg

CVAT

Roboflow

Other

Top Subject Matter

Artificial Intelligence and Machine Learning (Object Detection)

Artificial Intelligence and Machine Learning (Video Annotation)

Artificial Intelligence and Machine Learning (NLP/Text Classification)

Top Data Types

Image

Video

Text

Document

Top Task Types

Bounding Box

Classification

Entity (NER) Classification

Freelancer Overview

Data Labeling Intern / Freelancer. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include LabelImg, CVAT, and Roboflow. Education includes Bachelor of Science, University of Ilorin (2025). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Classification, and Entity (NER) Classification.

Labeling Experience

AI Dataset Quality Review (Project/Work)

OtherDocument

Performed quality assurance on annotated datasets to improve training accuracy. Checked labeled outputs for consistency, completeness, and adherence to annotation rules. Helped enhance dataset reliability through systematic review. • Conducted QA checks on annotated datasets • Validated label consistency and accuracy • Ensured adherence to annotation guidelines • Supported improvements to overall dataset quality

Present

Data Labeling Intern / Freelancer

RoboflowTextEntity (NER) Classification

Labeled and categorized text data to support NLP model training and classification workflows. Reviewed labeled examples to ensure label consistency and correctness. Applied project-specific guidelines to maintain high-quality training datasets. • Labeled text datasets for NLP tasks • Reviewed text labels for accuracy • Categorized text according to guidelines • Supported AI training data preparation

Present

Data Labeling Intern / Freelancer

CVATVideoClassification

Annotated videos as part of datasets used to train AI models. Reviewed labeled segments to ensure consistency and correctness across the dataset. Followed project instructions and quality checks to maintain reliable training data. • Labeled video data for AI training • Reviewed labels for consistency • Applied classification labels based on guidelines • Met daily annotation targets

Present

Data Labeling Intern / Freelancer

LabelImgImageBounding Box

Annotated images and applied bounding boxes for object detection and AI training datasets. Ensured labels were consistent with the required project guidelines and training objectives. Performed review passes to maintain data accuracy and reduce labeling errors. • Annotated images for object detection • Applied bounding boxes to relevant objects • Reviewed labeled outputs for consistency • Followed daily annotation targets and instructions

Present

Education

Work History