Ikenna Eze

Key Skills

Software

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I have up to one year of experience in data labeling and AI training tasks, working with structured and unstructured data to improve model accuracy and reliability. My work has included text annotation, content classification, quality evaluation, and response validation across a range of domains such as education, research, and business related content. I pay close attention to detail and consistently follow annotation guidelines, ensuring that training data is accurate, consistent, and aligned with project objectives. In addition to data labeling, I have strong prompt engineering skills, allowing me to design clear, precise prompts that improve model reasoning, relevance, and output quality. My background in research, academic writing, and analytical thinking enables me to understand complex instructions, identify edge cases, and apply sound judgment when evaluating AI responses. I also bring strengths in critical thinking, ethical awareness, and clear written communication, which support the development of responsible, high quality AI systems.

Labeling Experience

AI Data Labeler

TelusTextEvaluation RatingPrompt Response Writing SFT

I worked for approximately 11 months as a data labeler and quality rater on AI training projects, focusing on improving model accuracy, safety, and response relevance. My responsibilities included annotating and evaluating text data, applying detailed guidelines consistently, identifying ambiguous or edge case inputs, and providing structured feedback to support model refinement. I also leveraged prompt engineering techniques and analytical judgment to assess response quality and ensure high standard training data

I worked for approximately 11 months as a data labeler and quality rater on AI training projects, focusing on improving model accuracy, safety, and response relevance. My responsibilities included annotating and evaluating text data, applying detailed guidelines consistently, identifying ambiguous or edge case inputs, and providing structured feedback to support model refinement. I also leveraged prompt engineering techniques and analytical judgment to assess response quality and ensure high standard training data

2025

Education

Work History