Analyst AI/LLM – AI and LLM output validation, data annotation, and quality assurance
TextReviewed, analyzed, and validated AI and LLM outputs to ensure accuracy, relevance, and compliance with project guidelines. Performed data annotation, content evaluation, and quality checks to support LLM training, fine-tuning, and evaluation workflows. Identified errors, inconsistencies, and bias in generated responses and provided structured feedback for improved model performance. • Evaluated prompts, instructions, and use cases across multiple scenarios and domains • Documented observations and quality metrics to track improvements in AI workflows • Collaborated with quality reviewers, project leads, and AI specialists to meet delivery targets • Ensured adherence to data governance, confidentiality, and responsible AI standards
2025 - Present