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Freelancer Overview

My work has focused on improving LLM performance by evaluating AI-generated responses for accuracy, relevance, tone, and safety, as well as identifying hallucinations, bias, and logical inconsistencies. I have hands-on experience annotating large text datasets for NLP and machine learning projects, performing sentiment analysis, intent classification, and content labeling while adhering to strict quality standards. Proficient with tools like Labelbox, Google Workspace, and internal QA platforms, I excel at remote collaboration with global teams and consistently deliver high-quality results within deadlines. I am available for both full-time and contract remote opportunities and am committed to maintaining accuracy and reliability in all aspects of AI data training and evaluation.

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