AI Training and Annotation Lead for MAYA Conversational AI
TextClassificationText Generation
Led the development and implementation of MAYA, a conversational AI patient assistant, which involved annotating and structuring query and response datasets. Oversaw internal teams in capturing structured patient intake data, real-time cost estimates, and query resolutions for training AI models. Conducted A/B and beta testing, guiding feedback loops to further refine and fine-tune conversational AI system responses.
• Designed, labeled, and curated text-based patient queries and responses.
• Defined user intent classifications and tagging for AI model development.
• Coordinated QA data validation and correction processes.
• Collaborated with engineers to improve conversational accuracy and reduce error rates.
Led the development and implementation of MAYA, a conversational AI patient assistant, which involved annotating and structuring query and response datasets. Oversaw internal teams in capturing structured patient intake data, real-time cost estimates, and query resolutions for training AI models. Conducted A/B and beta testing, guiding feedback loops to further refine and fine-tune conversational AI system responses. • Designed, labeled, and curated text-based patient queries and responses. • Defined user intent classifications and tagging for AI model development. • Coordinated QA data validation and correction processes. • Collaborated with engineers to improve conversational accuracy and reduce error rates.
2023 - 2025