Data Annotation
Evaluated text responses for factual accuracy, completeness, and usefulness.
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I am an Information Technology student with hands-on experience in AI/ML annotation and evaluation, specializing in text data labeling and response scoring. My self-directed project involved evaluating over 30 AI-generated text outputs for accuracy, completeness, and bias, where I applied factual verification, logical reasoning, and preference ranking to identify high-quality responses. I excel at detecting errors, partial correctness, and hallucinations, and consistently provide clear, structured justifications for my assessments. My strong attention to detail, analytical writing, and commitment to following established guidelines enable me to deliver reliable, high-quality training data for AI and machine learning applications.
Evaluated text responses for factual accuracy, completeness, and usefulness.
Bachelor of Science, Information Technology
Student