Data Labeller & AI Training Contributor (Independent) | Remote
You labelled and categorized audio alongside text and AI-generated content using structured rubrics and project-specific guidelines. You applied quality-focused evaluation to identify ambiguous, edge-case, or out-of-scope samples and flagged them for review. You maintained high accuracy and inter-rater consistency while working through large training task queues. • Multi-class and binary labeling across audio-related content • Edge-case documentation for project manager decisions • Onboarding compliance using written guidelines and Loom tutorials • Remote async execution with daily/weekly output targets