Data Annotation Specialist

Summary

Join Hippocratic AI, a leading healthcare AI company, as a Data Annotation Specialist. You will play a vital role in enhancing our AI and machine learning initiatives by ensuring high-quality, accurate, and consistent datasets. This involves annotating and labeling large volumes of data, following established guidelines, and conducting thorough audits. Your work will directly impact the performance of our AI models and contribute to continuous process improvements. You will collaborate with data scientists and engineers, providing regular updates and insightful reports. This is an opportunity to contribute to a groundbreaking mission in healthcare.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field
• Prior experience in data annotation, data labeling, or data quality assurance
• Basic understanding of AI, machine learning, and data processing workflows