Olutayo Aladeusi

Olutayo Aladeusi AI Data Annotator | Data Labeling | AI Research & Prompt Canada Professional Summary Detail-oriented AI Data Annotator with experience supporting the training and evaluation of AI and machine learning models. Skilled in collaborating with large language models (LLMs) and internal tools as copilots to complete annotation, research, and analysis tasks. Experienced in web research, prompt refinement, and applying best practices for working with LLMs to deliver accurate, well-reasoned, and clearly written outputs while following detailed guidelines. Highlights of Qualifications • Hands-on experience labeling, reviewing, and validating datasets for AI and machine learning model training and evaluation. • Strong ability to deliver accurate, well-reasoned, and clearly written outputs supported by verified information. • Experienced in conducting web research to validate facts and collect supporting evidence. • Proficient in collaborating with large language models (LLMs) and internal tools to complete complex tasks. • Skilled in designing and refining prompts to improve AI output quality and consistency. • Solid understanding of LLM strengths, limitations, and best practices. • Maintains high annotation accuracy by strictly following detailed guidelines and quality standards. • Quick learner who adapts easily across annotation, research, and analysis tasks in a remote environment. • English proficiency: B2 (Upper-Intermediate / Professional Working Proficiency). • Increased productivity by 15% through efficient task prioritization and workflow optimization. Professional Experience AI Data Annotator / Data Labeling Specialist – Outlier (Remote) April 2025 – • Labeled and reviewed text and image data used to train and evaluate AI and machine learning models. • Collaborated with LLMs and internal tools as AI copilots to support annotation, research, and analysis tasks. • Conducted information verification and research to ensure outputs were accurate and well-reasoned. • Refined prompts to guide AI systems toward higher-quality and more consistent results. • Applied best practices for working with LLMs, considering model strengths and limitations. • Maintained high annotation accuracy while meeting deadlines and quality requirements Assistant Buyer – TotalEnergies Dec 2022 – Nov 2024 • Maintained accurate records of purchase orders, invoices, and inventory data. • Improved procurement data accuracy by 25% through validation and review. • Reduced invoice discrepancies by 20% through careful data checks. • Supported operational decisions through clear reporting. • Helped achieve 98% on-time delivery through coordination with suppliers. • Maintained 100% compliance with documentation standards. Education BSc Geology (Awarded) University of Ado-Ekiti Certifications ChatGPT Prompt Engineering for Developers AI Data Annotation & Training Projects (Outlier) .