MedClarity Hiring! Part Time Medical Imaging Specialist (AI Annotation) in - Ricebowl

Company Description

Theia Health specialises in AI-powered automation of coronary CT scan analysis, aiming to accelerate and improve coronary artery disease detection, staging, and monitoring, particularly in the ASEAN region.

About the Role

We are seeking a Medical Imaging Annotation Specialist with a cardiac radiology background to support the development of AI models for medical imaging analysis. The role involves reviewing and annotating CT scan datasets, ensuring high-quality labelling of anatomical structures and pathological findings. This position plays a critical role in improving model accuracy and reliability by providing clinically accurate annotations and quality control for training datasets.

Key Responsibilities

• Review and analyse CT scan images to identify anatomical structures and relevant pathological findings.
• Perform precise medical image annotations according to internal annotation guidelines.
• Ensure high accuracy and consistency in labelling imaging datasets used for AI model training.
• Conduct quality checks and revisions of existing annotations to correct inaccuracies.
• Collaborate with the AI/ML team to refine annotation guidelines and improve dataset quality.
• Assist in identifying model errors by comparing AI predictions with ground truth annotations.
• Maintain proper documentation of annotation protocols and findings.
• Provide clinical insight to improve imaging interpretation and labelling standards.

Requirements

• Degree in Radiography, Medical Imaging, Radiologic Technology, or a related healthcare field.
• 3+ years of experience in medical image annotation for AI/ML datasets and working with CT imaging in a clinical or diagnostic setting.
• Ability to accurately read and interpret CT scans, with strong knowledge of anatomy and radiological findings relevant to CT imaging.
• Experience using medical imaging and DICOM software (e.g., 3D Slicer, RadiAnt, OsiriX) and annotation tools.
• Familiarity with medical AI workflows and data labeling processes.
• High attention to detail, with strong communication and collaboration skills for working with technical teams.