We're hiring someone to curate and label a highly specialized audio-visual dataset for machine learning. This is not routine annotation work. The material does not fit an established labeling standard, so the work requires careful judgment to build a coherent labeling framework and maintain data quality. We need someone who can help figure out how the data should be labeled, not just label it. A paid calibration task and an NDA are required.
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