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Freelancer Overview

I am a PhD-level linguist with over 15 years of experience in language analysis, data annotation, and linguistic evaluation, with a strong focus on NLP and large language models. My background includes designing complex annotation guidelines, developing structured evaluation frameworks, and conducting large-scale data validation for both written and experimental language data. I have a deep specialization in morphological ambiguity, error pattern identification, and edge-case analysis, which I apply to improve data quality for AI training, RLHF workflows, and linguistic AI projects. My expertise is supported by advanced skills in statistical analysis (SPSS, Excel) and a proven track record of delivering high-quality, structured reports and quality audits to ensure data consistency and compliance. I am passionate about leveraging my academic and practical experience to enhance the accuracy and naturalness of language data for cutting-edge AI applications.

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