As a freelance data annotator and AI trainer, I’ve annotated and categorized more than 500 data points, including text, images, and financial data vectors, for machine learning models.
I evaluate AI-generated responses for factual accuracy, logical reasoning, and helpfulness, and provide feedback to align them with human intent.
I apply complex project taxonomies and labeling guidelines, maintain accuracy above 80%, and flag ambiguous or corrupted data for review.
In a university business case analysis project, I used Excel and statistical tools to analyze market research data for a mock retail business and present findings that simulated a 15% improvement in supply chain efficiency.
