Audio Edit Quality Annotation for Speech Dataset Training

We need annotators to review and label 5 hours of audio recordings to assess edit quality. The task involves comparing edited audio to its unedited transcription and waveform to identify problematic regions. Annotators will classify the audio based on naturalness and correctness of edits, mark specific issues, and provide segmentation for areas with bad edits. Familiarity with audio editing and detailed evaluation is required.