Research-oriented writer and qualitative annotator with hands-on experience in AI training, content evaluation, and long-form dialogue analysis. Background in Healthcare Management, with strong interdisciplinary training in communication, behavioral analysis, and structured research methodologies.
Previously contributed to large-scale AI training initiatives, where I specialized in evaluating, labeling, and refining long-form conversational data, prompt-response structures, and narrative coherence. Experienced in applying complex annotation guidelines, developing qualitative rubrics, and ensuring high standards of linguistic accuracy, rhetorical clarity, and data consistency.
Skilled in transcript analysis, narrative arc identification, speaker role classification, and conversational structure mapping. Adept at identifying discourse patterns such as reframing, synthesis, challenge-response dynamics, and exploratory dialogue flows.
With a strong foundation in research thinking from healthcare management studies and applied experience in AI data annotation and content quality review, I bring a rigorous, detail-oriented, and analytical approach to qualitative labeling projects. Comfortable working in distributed research teams and contributing constructive feedback to improve annotation frameworks and schema design.
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