AI video Transcription and Annotation Project
Worked on a video data annotation project focused on transcribing and labeling conversational and instructional video content for AI training purposes. Responsibilities included accurately transcribing spoken dialogue, identifying speakers, segmenting timestamps, and ensuring proper punctuation and contextual clarity in transcripts. Handled diverse audio qualities and accents, requiring strong listening skills and attention to detail to maintain high transcription accuracy. Applied consistent labeling guidelines, including formatting standards, speaker identification, and noise filtering (e.g., background sounds, overlaps). Contributed to quality assurance by reviewing and refining transcripts to meet strict accuracy benchmarks, ensuring data reliability for downstream AI model training. Leveraged strong analytical and language skills, along with technical discipline, to maintain consistency across large datasets.