Senior Data Annotation Specialist — TechLabel AI Solutions
Responsible for annotating and labeling large volumes of text, image, and structured datasets to support ML model training pipelines. Led a team and ensured labeling quality through daily checks and inter-annotator agreement tracking for complex NLP tasks. Developed fintech and crypto sentiment guidelines and ontologies to reduce ambiguity errors and refine annotation schemas from model feedback loops. • Labeled 500,000+ data points per month across text and structured formats. • Achieved 97%+ inter-annotator agreement (IAA) on complex NLP tasks. • Built labeling guidelines and ontologies for fintech/crypto sentiment classification. • Partnered with ML engineers to iterate annotation schemas based on performance feedback loops.