Data Labelling Specialist — Outlier (Remote)
Performed high-quality data annotation and labeling for AI training datasets for text-focused tasks including classification and evaluation. Reviewed and labeled complex AI-generated content across multiple domains, handling ambiguous cases and edge scenarios with precision. Worked with strict weekly targets to maintain accuracy above 92% while improving guideline compliance through feedback loops. • Conducted text classification, prompt evaluation, and response ranking. • Labeled content for domains such as mathematics, coding, and general knowledge. • Maintained consistent labeling accuracy above 92% and met weekly deadlines. • Collaborated with project managers to refine labeling guidelines and overall data quality.