AI training/data labeling interest: text evaluation and quality assurance for conversational responses
TextDemonstrated experience in evaluating AI/chatbot output quality through careful text review and guideline-based assessment. Focused on checking accuracy, logic consistency, and overall helpfulness of responses in a language-focused context. Applied reading comprehension and summarization skills to identify core messages from longer documents. • Fact-checking information against provided sources to ensure correctness • Tone and grammar review to judge politeness, helpfulness, and logical coherence • Summarizing long paragraphs/documents by capturing the main message accurately • Identifying contradictions or logical errors in conversational responses
2026 - Present