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

Total funding: $276m

The healthcare system is under increasing pressure to improve performance and patient outcomes, while battling inefficient operations and an ongoing staff shortage. Hippocratic AI hopes to help the industry address these issues, by supplying LLM-powered healthcare agents.