Surajudeen Kolawole

Key Skills

Software

Labelbox

CVAT

Prodigy

Top Subject Matter

AI Data Labeling

Machine Learning

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Freelancer Overview

AI Data Labeling Specialist (Freelance). Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox, CVAT, and Prodigy. Education includes Master of Science, N/A (2023) and Higher National Certificate, N/A (2022). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

AI Data Labeling Specialist (Freelance)

CVATImageBounding Box

I performed image annotation using bounding boxes to identify and label objects within datasets. This facilitated object detection tasks for downstream machine learning models. Accuracy and guideline adherence were maintained throughout the annotation lifecycle. • Applied bounding boxes to objects in images • Ensured data consistency and guideline compliance • Worked extensively with labeling platforms such as CVAT and Labelbox • Flagged edge cases and ambiguous scenarios for review

I performed image annotation using bounding boxes to identify and label objects within datasets. This facilitated object detection tasks for downstream machine learning models. Accuracy and guideline adherence were maintained throughout the annotation lifecycle. • Applied bounding boxes to objects in images • Ensured data consistency and guideline compliance • Worked extensively with labeling platforms such as CVAT and Labelbox • Flagged edge cases and ambiguous scenarios for review

2022 - Present

AI Data Labeling Specialist (Freelance)

LabelboxTextClassification

As an AI Data Labeling Specialist, I annotated, validated, and structured text and image datasets to enhance machine learning models. I achieved high accuracy by following strict annotation guidelines and ensuring data consistency. My responsibilities included labeling sentiment and tagging images while maintaining overall dataset quality. • Labeled sentiment (Positive/Negative/Neutral) for over 5,000 text entries. • Applied bounding boxes for image object detection tasks. • Used multiple annotation tools including Labelbox, CVAT, and Prodigy. • Regularly delivered clean, high-quality datasets within deadlines.

As an AI Data Labeling Specialist, I annotated, validated, and structured text and image datasets to enhance machine learning models. I achieved high accuracy by following strict annotation guidelines and ensuring data consistency. My responsibilities included labeling sentiment and tagging images while maintaining overall dataset quality. • Labeled sentiment (Positive/Negative/Neutral) for over 5,000 text entries. • Applied bounding boxes for image object detection tasks. • Used multiple annotation tools including Labelbox, CVAT, and Prodigy. • Regularly delivered clean, high-quality datasets within deadlines.

2022 - Present

Data Annotation Reviewer

LabelboxTextClassification

In the capacity of Data Annotation Reviewer, I was responsible for validating and correcting labeled datasets prior to model training. I meticulously checked for annotation errors, guideline compliance, and overall data quality. My efforts ensured consistently high-quality datasets delivered to project stakeholders. • Conducted quality assurance reviews on annotated datasets. • Corrected mislabels and standardized tag usage. • Ensured all data met defined annotation guidelines. • Collaborated with annotators to resolve ambiguities in data annotations.

In the capacity of Data Annotation Reviewer, I was responsible for validating and correcting labeled datasets prior to model training. I meticulously checked for annotation errors, guideline compliance, and overall data quality. My efforts ensured consistently high-quality datasets delivered to project stakeholders. • Conducted quality assurance reviews on annotated datasets. • Corrected mislabels and standardized tag usage. • Ensured all data met defined annotation guidelines. • Collaborated with annotators to resolve ambiguities in data annotations.

2021 - 2022

Education

Work History