I am an Epidemiology Specialist and AI Data Trainer with a strong background in public health, healthcare operations, and data evaluation. I support AI model development by recording, reviewing, and evaluating American English audio and video conversations to ensure accuracy, cultural relevance, and clarity. My work focuses on improving AI conversational quality through side-by-side evaluations, data annotation, and quality assurance processes.
With formal training in public health and hands-on experience in healthcare environments, I bring a detail-oriented and analytical approach to AI training projects. I am skilled in assessing conversational flow, tone, and context while identifying inconsistencies, bias, or inaccuracies in AI-generated outputs. I follow strict guidelines related to data privacy, ethical standards, and quality control to ensure high-quality contributions to AI systems.
I am highly adaptable, organized, and capable of working independently in remote, task-based environments. My experience balancing healthcare roles alongside contract-based projects has strengthened my time management, communication, and reliability. I am particularly interested in AI projects that intersect with healthcare, public health, and human-centered data evaluation.