AI Audio Data Labeling / Voice Annotation Project
Participated in AI data training tasks focused on Arabic speech data collection and annotation. The work involved recording real conversations in Arabic on specific topics, organizing and uploading the audio data, and labeling it according to project guidelines. These tasks were completed on the Outlier platform to support AI model training for speech recognition systems. Ensured clarity, consistency, and proper structuring of audio data to improve dataset quality and usability for machine learning models.