Ololade Tiamiyu

Key Skills

Software

Data Annotation Tech

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Freelancer Overview

I am an experienced AI Trainer and Data Specialist with a strong background in data annotation, model evaluation, and prompt engineering, primarily focused on natural language processing and large language models. My expertise lies in developing and reviewing high-quality training data, conducting structured model assessments, and collaborating with technical teams to optimize AI workflows and ensure data integrity. I am proficient in Python and SQL, and have successfully delivered projects such as an AI prompt optimization framework and business data visualization dashboards. My commitment to quality and continuous improvement has led to measurable enhancements in AI model performance and reliability.

Labeling Experience

AI Trainer

Data Annotation TechTextEvaluation Rating

As an AI Trainer, I was responsible for training and evaluating large language models through prompt creation and structured assessments. I annotated, reviewed, and performed bias/compliance checks on datasets to improve machine learning output quality and ethical alignment. My work focused on delivering structured feedback to data scientists and engineers for iterative model refinement. • Developed high-quality prompts and rated AI model outputs for accuracy, relevance, and compliance. • Annotated and corrected diverse text datasets to reduce errors and increase consistency. • Conducted bias and inclusivity assessments to ensure fair and ethical AI performance. • Provided detailed feedback and collaborated with technical teams to enhance AI response quality.

As an AI Trainer, I was responsible for training and evaluating large language models through prompt creation and structured assessments. I annotated, reviewed, and performed bias/compliance checks on datasets to improve machine learning output quality and ethical alignment. My work focused on delivering structured feedback to data scientists and engineers for iterative model refinement. • Developed high-quality prompts and rated AI model outputs for accuracy, relevance, and compliance. • Annotated and corrected diverse text datasets to reduce errors and increase consistency. • Conducted bias and inclusivity assessments to ensure fair and ethical AI performance. • Provided detailed feedback and collaborated with technical teams to enhance AI response quality.

2023

Education

Work History