Data Labeling Analyst (Simulation) | Forage Academy
As a Data Labeling Analyst at Forage Academy, I processed extensive customer support datasets using strict schema protocols. I classified entries for Intent, Sentiment, and PII, ensuring high standards of data privacy and accuracy. I regularly reviewed ambiguous edge cases and drafted rationales to optimize machine learning outcomes. • Conducted peer reviews to spot inconsistencies and maintain labeling quality. • Improved labeling guidelines by proposing strategic schema adjustments. • Documented rationale for ambiguous or complex data cases. • Focused on maintaining high ethical standards in all annotation work.