Data Labeling for Outlier
AudioTranscription
Conducting end-to-end audio data annotation and quality evaluation, including transcription, translation validation, and grading of audio datasets. Responsible for ensuring linguistic accuracy, contextual consistency, and adherence to annotation guidelines to support high-quality AI model training.
Conducting end-to-end audio data annotation and quality evaluation, including transcription, translation validation, and grading of audio datasets. Responsible for ensuring linguistic accuracy, contextual consistency, and adherence to annotation guidelines to support high-quality AI model training.
2025 - Present