Timileyin O.

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

AI coding assessment for Data Science / Machine Learning / Python

evaluation datasets for GenAI benchmarking

Business analytics

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Computer Programming/Coding

Evaluation/Rating

Freelancer Overview

AI Data Annotator and AI Trainer (Freelance, Upwork Remote). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Python, SQL, and Pandas. Education includes Master of Science, University of Ibadan (2023) and Bachelor of Science, University of Ibadan (2016). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Product Manager (Data & Analytics)

Somotex Nigeria Limited role is primarily product management and analytics dashboarding rather than AI/data labeling. The responsibilities include exploratory data analysis, sales forecasting, and analytics training for teams. The resume does not describe explicit AI training, annotation, or labeling duties in this position. • Built Power BI dashboards integrating POS, ERP, and inventory data for KPI tracking. • Defined and monitored revenue growth and operational performance metrics. • Performed EDA to identify demand and pricing patterns. • Delivered analytics training to sales and operations teams to enable self-service reporting.

2023 - Present

Data Analyst (Freelance)

Royalty Services & Analytics (Freelance) focused on analytics work including predictive modeling and reporting deliverables rather than direct AI training or data annotation tasks. The resume mentions analytics documentation and metric definitions to support consistent reporting workflows. However, no explicit data labeling, annotation, or AI training activities are described within this role. • Built BI dashboards and performed SQL/Python analytics workflows. • Conducted statistical analyses on datasets to identify drivers and inefficiencies. • Developed predictive models for churn and sales forecasting. • Produced documentation to ensure clarity and consistency in reporting metrics.

2023 - Present

Python Annotator

Computer Code ProgrammingComputer Programming/Coding

Worked on an AI training data annotation project focused on evaluating the performance of a state of the art AI code assessment system for Data Science, Machine Learning, and Artificial Intelligence tasks. The project involved reviewing and annotating AI generated coding responses, validating technical accuracy, identifying logical or syntax issues, and assessing response quality based on detailed annotation guidelines. Tasks included evaluating Python code, SQL queries, machine learning workflows, and data processing implementations using tools such as Pandas, SQLite3, and scikit learn. The project followed a structured quality assurance process that included preliminary training, recorded guideline sessions, and trial annotations before full project onboarding. The annotation work required strong attention to detail, consistency, and fast turnaround times, with most annotations completed within strict 2 business day deadlines. Quality measures included adherence to standardized annotation frameworks, accuracy checks, consistency validation across multiple interactions, and compliance with NDA and project confidentiality requirements. The project was executed in collaboration with a distributed AI research and engineering team over several weeks, contributing to the improvement and benchmarking of GenAI model evaluation systems.

2024 - 2025

Education

Work History