Collaborate with data scientists to prepare, structure, and format raw documents for AI model training. Perform document anonymization and redaction to ensure compliance with data privacy regulations (e.g., GDPR, CCPA). Conduct document labeling and tagging for supervised learning datasets. Convert unstructured documents (PDFs, Word, scanned content) into structured formats (e.g., JSON, tables). Analyze outputs from LLMs and other models, comparing them against ground truth. Conduct manual validation of AI-generated results, ensuring quality and business relevance. Track model accuracy, identify gaps, and provide insights on functional alignment. Prepare documentation, test cases, and assist with knowledge base creation.