I evaluate AI-generated text in Modern Standard Arabic for linguistic accuracy, fluency, tone, safety, and factual alignment. I review model responses involving translation ambiguities, dialect variations, and medical, scientific, or technical terminology.
In my Arabic language and AI data evaluation work, I apply structured guidelines, including the STAR methodology, and provide actionable feedback to AI development teams. I also annotate and proofread Arabic text and audio transcription datasets.
As a medical translator and linguistic quality auditor, I translated clinical histories, emergency room presentations, and medical literature between English and Arabic. I used CAT tools and X-Bench for quality checks, and compiled bilingual medical glossaries to support consistent terminology.
