Jairo Henrique Araújo Cirilo

Licensed Pharmacist and AI Data Annotation Specialist with over five years of experience, I possess a unique fusion of deep clinical knowledge and technical expertise. My career is dedicated to training and refining sophisticated AI models, with a specific focus on the healthcare and life sciences domains. I specialize in annotating complex datasets where linguistic precision and technical-scientific accuracy are paramount, ensuring that AI systems understand the nuance and complexity of medical language.

My core competency lies in the meticulous annotation and labeling of textual and audio data for Natural Language Processing (NLP) projects. I leverage my native proficiency in Brazilian Portuguese, fluent English (C1+), and Spanish to build high-quality, multilingual datasets. My work directly contributes to the development of AI applications in areas such as clinical decision support, pharmacovigilance, medical literature analysis, and patient interaction tools.

What distinguishes my profile is my ability to apply proven pharmaceutical expertise to the data annotation process. I am adept at analyzing and labeling intricate medical terminology, pharmacological concepts, and scientific jargon that often challenge conventional annotators. This domain-specific knowledge allows me to ensure consistency, contextual relevance, and ultimate reliability in the training data, which is critical for the success of AI in high-stakes healthcare environments.

My experience spans creating detailed taxonomies, performing entity recognition (e.g., identifying drug names, dosages, conditions, and adverse effects), and classifying intent within patient-physician dialogues. I am skilled in using various annotation platforms and maintaining rigorous quality assurance standards throughout the data lifecycle. I am seeking roles that operate at the intersection of technology and healthcare, such as a Senior Data Annotator, AI Training Data Specialist, or Pharmaceutical AI Consultant, where I can contribute to building more intelligent and accurate AI solutions for the medical field.