Rasha M.

Rasha M. is a detail-oriented Language Data Specialist with significant experience in Arabic audio transcription and speech annotation, notably contributing to AI training data projects. Her expertise is characterized by a strong ability to follow detailed guidelines, ensuring high-quality standards in producing accurate language data essential for machine learning applications. As a freelance professional, she has successfully worked with renowned companies like Magic Data, Data Plus, SpeedX, and Appen. Rasha excels in transcribing Arabic audio recordings, annotating and validating speech data, and performing quality assurance prior to submission. Her commitment to linguistic quality standards allows her to handle various Arabic dialects efficiently while consistently meeting deadlines and productivity targets. Notably, her skills include AI Training Data, Quality Assurance (QA), and Microsoft Office, underscoring her strong organizational, communication, and problem-solving capabilities.