Job Title

Role: Senior Annotation Specialist Experience: 5+ YearsLocation: HyderabadJob Responsibilities5+ years of experience in medical image annotation or a related field, with deep familiarity with DICOM, PACS, and other medical imaging systems.Expertise in medical imaging modalities (CT, MRI, X-ray, ultrasound) and proficiency with medical annotation tools (e.g., ITK-SNAP, Labelbox, V7 Labs).Demonstrated ability to lead and mentor teams in medical image labeling and annotation.Strong understanding of clinical anatomy, pathology, and medical terminology.Excellent collaboration and communication skills, working with cross-functional teams of clinicians and AI developers.Strong problem-solving skills, especially in process optimization and tool evaluation.Must HaveMinimum Qualification Bachelor’s or Master’s degree in Radiology, Medical Imaging, Biomedical Engineering, or a related field.Knowledge of regulatory requirements, including HIPAA and GDPR compliance, for handling medical data.Principal Working RelationshipReports to AI / Data Science Manager.Collaborates with radiologists, pathologists, data scientists, and AI engineers to ensure seamless integration of annotated data into machine learning models.Nice to HavesExperience with AI-driven medical image analysis models and deep learning techniques.Knowledge of automated annotation tools or semi-automated pipelines.Familiarity with clinical domains like oncology, cardiology, or pathology is a plus.A Day in the LifeLead the annotation and labeling of complex medical images (CT, MRI, X-ray, ultrasound) for AI and machine learning model development.Ensure data relevancy and acceptance by evaluating medical images before annotation to verify their suitability for annotation and AI modeling.Validate annotation outcomes to guarantee accuracy and consistency, ensuring that all annotations align with clinical objectives and meet required standards.Work closely with radiologists and clinical experts to validate annotations and ensure clinical accuracy.Collaborate with data scientists and machine learning engineers to refine annotation processes for optimal AI model performance.Optimize and enhance annotation workflows by leveraging advanced tools and technologies.Perform quality assurance audits on annotated datasets to ensure compliance with project and clinical standards.Mentor and guide junior annotators, providing quality reviews and expert feedback.Stay updated on the latest advancements in medical imaging and AI technologies to continually improve annotation methods.