Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Top Label Types

Classification

Freelancer Overview

As a Library and Information Science (LIS) professional, my experience in AI training is rooted in the transition from traditional cataloging to high-precision data curation and Retrieval-Augmented Generation (RAG). I specialize in developing complex taxonomies and metadata schemas that serve as the "ground truth" for machine learning models. Unlike generalist data labelers, I apply formal Information Retrieval (IR) principles and Boolean logic to categorize datasets, ensuring that AI training inputs are not only accurately labeled but also structurally organized for optimal model findability and logical reasoning. What sets me apart is my rigorous background in Information Ethics and Authority Verification. I have led projects involving the auditing of large-scale digital repositories, where I performed deep-dive fact-checking and bias mitigation to ensure data integrity. My expertise in Reinforcement Learning from Human Feedback (RLHF) is enhanced by my ability to evaluate model outputs against professional reference standards. By combining technical proficiency in tools like Airtable and SQL with the "Reference Interview" mindset, I translate ambiguous human prompts into structured, high-quality data that significantly reduces model hallucinations and improves accuracy.

Labeling Experience

Education

Work History