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Freelancer Overview
I am an experienced AI data evaluator and annotator with over three years working on large language model evaluation, data labeling, and multilingual annotation projects. My background includes hands-on work assessing LLM outputs for quality, safety, and factual accuracy, as well as detecting hallucinations and evaluating AI-generated code in JavaScript and Python. I have contributed to the creation and validation of high-quality training datasets across text, audio, and speech domains, including transcription and TTS/ASR annotation. I am skilled in guideline-based quality assurance, comparative ranking, and providing clear, structured feedback to improve AI systems. With a strong technical foundation and advanced English proficiency, I am committed to delivering reliable, policy-compliant data for AI and NLP applications.
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