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The role characterizes large-scale conversational audio data, including languages, accents, acoustic conditions and quality gaps, and builds active-learning loops and human-in-the-loop workflows that guide model improvement. It also covers representative benchmark datasets. Strong Python, data tooling and familiarity with speech or NLP models are required.