Kobe Gatchalian

Applied linguistic expertise to craft and refine AI prompts, ensuring clarity and adaptability across conversational and task-based scenarios. Moderated chatbot interactions to maintain safe, engaging, context-aware conversations, and engineered LLM prompt structures to guide outputs effectively and support more human-like responses.

Assessed relevance and quality of personalized internet ads to ensure alignment with user intent, cultural context, and platform standards. Provided feedback to improve ad targeting algorithms and user experience, reviewing multiple ad formats under tight deadlines while balancing speed, accuracy, and evolving quality guidelines.

Converted audio recordings and datasets into structured text for AI training, identifying and correcting transcription errors and evaluating pronunciation accuracy. Recorded and validated speech data used to train and improve AI chatbots and conversational systems, and annotated/validated audio, text, image, and video datasets with a focus on accuracy, consistency, relevance, and quality across multiple concurrent projects.