Multilingual AI Training and Language Annotation Project
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ClassificationParticipated in multilingual AI training and data annotation projects involving Arabic, English, and Indonesian language data. Tasks included AI response evaluation, content classification, linguistic annotation, translation quality assessment, semantic analysis, intent recognition, prompt-response ranking, and quality control. Applied linguistic expertise to identify grammatical, semantic, cultural, and contextual issues while ensuring consistency with project guidelines and annotation standards. Contributed to the development of high-quality training datasets for machine learning and large language models by performing detailed language analysis, validating translations, reviewing generated content, and maintaining high accuracy across multilingual data workflows.