AI Generalist
Contributed to an ongoing AI training and data annotation project focused on improving the accuracy, safety, and conversational quality of large language models. Responsibilities included evaluating AI-generated responses for relevance, factual consistency, tone, grammar, and policy compliance across a wide variety of prompts and scenarios. Performed detailed text annotation, categorization, ranking, and quality assurance tasks while following strict project guidelines and maintaining high accuracy standards. Worked with structured datasets involving natural language processing (NLP), conversational AI, and prompt-response evaluation. Regularly identified edge cases, inconsistencies, and low-quality outputs to help improve model performance and user experience. Demonstrated strong critical thinking, attention to detail, and the ability to adapt quickly to evolving instructions, workflows, and quality benchmarks while consistently meeting productivity targets and turnaround deadlines.