AI data labelling
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Evaluation/Rating**Project Title:** AI Training Data Annotation and Search Quality Evaluation **Project Description:** Worked on AI training and search quality improvement projects focused on enhancing the performance and reliability of machine learning models. Responsibilities included annotating and labeling training datasets, evaluating AI-generated responses for accuracy and relevance, and assessing search engine results based on user intent and established quality guidelines. Performed detailed online research and fact-checking to validate information and ensure high-quality annotations. Applied strict project standards to maintain consistency, accuracy, and compliance with annotation guidelines while working in a remote environment. **Key Skills Demonstrated:** * AI Data Annotation and Labeling * Search Quality Rating and Relevance Assessment * AI Response Evaluation * Content Moderation and Web Research * Data Quality Assurance * Guideline Compliance * Critical Thinking and Analytical Problem Solving * Prompt Evaluation and Generative AI Fundamentals **Tools and Technologies:** * AI Evaluation Platforms * Google Search and Advanced Research Techniques * Microsoft Office Suite * Google Workspace * Slack, Trello, and Zoom **Project Impact:** Contributed to the improvement of AI model performance by delivering accurate, high-quality annotated data and structured feedback. Maintained strong attention to detail and consistency, helping ensure that AI systems produced more relevant, reliable, and user-focused outputs.