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I am an entry-level AI Trainer and Data Annotation Specialist with a strong foundation in text evaluation, quality assurance, and precise data labeling. My expertise lies in evaluating and ranking AI-generated responses for factual accuracy, formatting compliance, and clarity. I have a keen eye for detail, which allows me to meticulously review large datasets, categorize information correctly, and identify subtle errors or biases that automated filters might miss. I excel at following dense, complex project rubrics and adapt quickly to new annotation tools and platforms. Whether performing text classification, data collection, or side-by-side model comparisons, I focus heavily on consistency and precision to ensure the training data is of the highest standard for downstream model fine-tuning.
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