AI Advanced Mathematics Trainer
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Prompt + Response Writing (SFT)Project: AI Training Data Annotation and Quality Review Worked on annotating and validating large datasets used for training machine learning and generative AI models. Tasks included text classification, sentiment analysis, content moderation, entity tagging, and response evaluation based on detailed guidelines. Performed quality assurance checks, identified annotation inconsistencies, and maintained high accuracy standards to improve model performance and reliability. Project: Generative AI Response Evaluation Contributed to the development of conversational AI systems by reviewing, ranking, and correcting AI-generated responses. Evaluated outputs for accuracy, relevance, safety, grammar, and adherence to instructions. Documented edge cases, provided feedback on model behavior, and helped create high-quality training datasets that improved the effectiveness and user experience of AI models. Project: Image and Content Annotation for Computer Vision Annotated images and multimedia content by labeling objects, categorizing visual elements, and verifying metadata according to project requirements. Maintained consistency across large datasets, conducted peer reviews, and supported dataset quality improvements for computer vision and AI applications.