Data Annotation Specialist, Hippocratic AI

• High school diploma or equivalent
• Strong attention to detail with excellent analytical and problem-solving skills
• Familiarity with data annotation tools and a willingness to learn new technologies
• Excellent communication skills and the ability to work collaboratively in a fast-paced environment

Desirable

• We are seeking meticulous and motivated Data Annotation Specialists to join our team
• In this role, you will play a crucial part in enhancing our AI and machine learning initiatives by ensuring the quality, accuracy, and consistency of our datasets
• Drawing inspiration from industry-standard practices, including current AI data labeling roles, you will be responsible for data annotation, schedule auditing, and detailed reporting
• Your efforts will directly influence the performance of our AI models and contribute to continuous process improvements
• Accurately annotate and label large volumes of data—including text, images, and multimedia—to support training and validation of AI models
• Follow established guidelines and protocols to ensure consistent data quality
• Assess and verify the accuracy, consistency, and alignment of schedules with established protocols
• Maintain detailed records of annotations and audit activities
• Detect scheduling inefficiencies or errors in data processing workflows
• Proactively highlight discrepancies and recommend corrective actions to improve data integrity and operational efficiency
• Provide regular updates on annotation progress, quality metrics, and scheduling audits
• Compile a final summary report with actionable insights to inform stakeholders and guide future process improvements
• Work closely with data scientists, engineers, and project managers to refine data labeling protocols and enhance overall data quality
• Participate in team meetings and training sessions to stay updated on best practices and new tools in the data annotation field