Data Annotation
Project Nova is a data-labeling initiative by AI startup Mercor, which replaced a previous project (Musen). it focuses on training AI models through data labeling, annotation, and evaluating model outputs.
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I have a strong background in medical data management, quality assurance, and healthcare information systems, with hands-on experience processing, sorting, and reviewing large volumes of clinical documents to ensure accuracy and compliance. My work as a Health Information Technician has equipped me with skills in data validation, error detection, and process improvement—key competencies for high-quality data labeling and annotation. I am proficient in using EPIC, SharePoint, and the Microsoft Office Suite for data tracking and documentation, and I have experience creating training resources to help teams maintain consistency and accuracy. My foundation in ICD-10 coding, anatomy, and medical terminology, combined with a commitment to HIPAA compliance and data integrity, makes me adept at handling sensitive data for AI training and healthcare analytics. I am highly adaptable, quick to learn new systems, and motivated to contribute to projects that require meticulous attention to detail and a deep understanding of medical and clinical data.
Project Nova is a data-labeling initiative by AI startup Mercor, which replaced a previous project (Musen). it focuses on training AI models through data labeling, annotation, and evaluating model outputs.
Certificate in Medical Coding and Billing, Medical Coding and Billing
Bachelor of Science, Public Health
Health Information Technician II