Data Labelling Lead

Data Labeling Leads manage teams of data labelers, ensuring accurate and consistent annotation of data for machine learning models. They define labeling guidelines, monitor quality, and optimize workflows to meet project requirements. They also train and mentor labelers, and resolve labeling discrepancies.

You spend the day designing and pilot-testing labelling methods, reviewing annotator agreement, and preparing illustrated reports that translate complex findings into clear written summaries. Between meetings with marketing and analytics you analyze demographics and satisfaction metrics to inform label strategy. A typical shift balances sitting work — email, phone calls, tool logs — with hands-on dataset reviews and procedure updates to keep labels dependable.