Labeling and AnnotationTwine AI
I am conducting a research project to map the structural DNA of world-class long-form conversations. I need a managed team of high-context annotators, such as writers, linguists, or media students, to apply a qualitative labeling schema to podcast transcripts. The work will involve identifying narrative arcs, tracking speaker roles like Challenger or Explorer, and annotating structural moves such as reframing and synthesis. This project is focused on analyzing conversations to better understand their rhetorical and structural dynamics.
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About the client
I am a research lead and regulatory advisor specializing in the intersection of emerging technology and narrative structure. I am currently heading a project focused on Conversational Architecture Synthesis. We are building a model designed to generate long-form speculative fiction, but rather than training it on creative prose, we are training it on the structural and rhetorical dynamics of world-class, non-fiction conversation.
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- Single job
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- Beginner, junior, mid-level
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