Olatunji Monsuru

Key Skills

Software

Clickworker

Humanatic

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Top Label Types

Classification

Data Collection

Mapping

Text Summarization

Transcription

Freelancer Overview

I bring a strong background in program and product management, with hands-on experience leading cross-functional teams and driving data-driven decision-making to enhance user engagement and project outcomes. My roles have involved conducting market research, facilitating trainings, and coordinating multi-state initiatives, all of which demanded meticulous attention to detail, critical analysis, and effective communication—skills essential for high-quality data labeling and AI training data projects. I am adept at planning and organizing complex tasks, mentoring teams, and streamlining processes to ensure accuracy and efficiency. My adaptability and quick learning enable me to thrive in dynamic environments, and I am passionate about leveraging my skills to support impactful AI and data annotation initiatives.

Labeling Experience

Data Annotation & Categorization (Structured Data Review)

ClickworkerTextClassification

Reviewed and structured various datasets including audit, program, user, and market data to ensure accuracy and readiness for AI modeling. Categorized and annotated information according to detailed guidelines to support data-driven projects and maintain data integrity. Employed structured analysis and systematic review processes to identify discrepancies and enhance data quality throughout reporting systems. • Ensured consistent and accurate records across multi-state projects • Utilized analytical and pattern recognition skills to validate and categorize data • Maintained quality control over multiple datasets using spreadsheet and documentation tools • Tracked metrics and supported informed decision-making for AI-oriented tasks.

Reviewed and structured various datasets including audit, program, user, and market data to ensure accuracy and readiness for AI modeling. Categorized and annotated information according to detailed guidelines to support data-driven projects and maintain data integrity. Employed structured analysis and systematic review processes to identify discrepancies and enhance data quality throughout reporting systems. • Ensured consistent and accurate records across multi-state projects • Utilized analytical and pattern recognition skills to validate and categorize data • Maintained quality control over multiple datasets using spreadsheet and documentation tools • Tracked metrics and supported informed decision-making for AI-oriented tasks.

2023

Education

Work History