I’m Rewan Abdulaziz Galal, a bilingual Arabic and English AI data annotator and transcription specialist based in Tanta, Egypt. I combine careful LLM evaluation skills with strong auditory attention and a medical background, so I can produce high-integrity transcripts and reliable training data—even for complex, multi-speaker, and clinical content.
I enjoy reviewing and improving both text and audio datasets with strict QA standards, including verbatim transcription, speaker labeling, timestamping, and dialect-aware transcription for Egyptian Arabic and Modern Standard Arabic. With experience in clinical documentation and transcription, I’m comfortable handling specialized medical terminology while maintaining clarity, accuracy, and safety-focused guidelines.
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