Kolawole O.

Key Skills

Software

Other

Top Subject Matter

AI output evaluation and data/knowledge quality assurance

Medical record QA and structured data compliance validation

Business data quality assessment and performance analytics

Top Data Types

Text

Video

Image

Top Task Types

Text Generation

RLHF

Evaluation/Rating

Freelancer Overview

Business Analyst – AI Evaluation & Annotation (Turing). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Business Administration, Bowen University and Bachelor of Science, Bowen University (2022). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Evaluation and Rating.

Labeling Experience

Zion Time-Stamped Activity Descriptions

VideoText Generation

Semantic annotation pipeline for auditing and refining AI-generated captions for short-form video content. Experts review model-generated seed descriptions of hand actions captured from a robot's point of view, verify accuracy against video footage, and correct or approve annotations across nine edit categories. Annotations must accurately capture bimanual hand actions, object interactions, and spatial positioning without body movement descriptions or hallucinated details.

2026 - Present

Business Analyst – AI Evaluation & Annotation (Turing)

TextRLHF

Conducted structured evaluations of AI outputs using formal research frameworks to validate quality, accuracy, and consistency. Performed comprehensive fact-checking and evidence-based analysis to improve output quality and support cross-functional decisions. Flagged inconsistencies, ambiguities, and edge cases with well-documented reasoning for model improvement. • Evaluated AI responses for accuracy and consistency (noted 98% accuracy) • Improved output quality by 30% through evidence-based checks • Collaborated with data scientists to validate findings and improve research outcomes by 25% • Produced compliance-grade documentation and structured reports

2025 - Present

Image Data Annotation

ImageObject Detection

The project involves image quality rating. Identifying the difference between the input and output images. Ensuring focus on intent-driven transformation rather than pixel-level changes.

2026 - 2026

Radiologist – Data Governance & QA (2 DIV Medical Reserve Hospital, NYSC)

Other

Validated patient records against rigorous medical reporting standards to ensure compliance and reduce errors in high-stakes documentation. Used structured data logging and quality documentation to improve reporting efficiency and maintain accuracy. Contributed to data governance and QA processes by ensuring record-level correctness and completeness. • Validated 2,000+ patient records for compliance (100% compliance achieved) • Improved outcome reporting efficiency by 25% via structured data logging • Ensured high attention to detail in error-sensitive environments • Supported data governance/quality assurance workflows

2023 - 2024

Customer Insight Analyst (Onibuore Event Management)

Text

Conducted structured data quality assessments on business records and translated findings into evidence-based recommendations. Designed KPI dashboards to monitor data-driven performance and support ongoing decision-making. Ensured record-level data quality through systematic review and validation approaches. • Assessed data quality on 1,500+ records • Produced evidence-based business recommendations based on validated data • Built Power BI KPI dashboards to monitor performance • Performed structured evaluations to support data integrity

2021 - 2024

Education

Work History