Outlier AI - Data Annotator and Labeller
Annotated and labeled diverse datasets (text, image, and audio) to train and improve AI models, ensuring accuracy and consistency. Followed detailed annotation guidelines to evaluate, categorize, and refine model outputs for better performance. Performed quality assurance checks and collaborated with team members to resolve ambiguities and maintain dataset integrity. • Dataset labeling across modalities (text, images, audio) • Guideline-based evaluation and refinement of model outputs • Quality assurance and ambiguity resolution • Team collaboration to maintain dataset integrity