Imaging Specialist
Horizontal Talent
2 - 5 years
Hyderabad
Posted: 21/04/2026
Job Description
Role: Senior Annotation Specialist
Experience: 5+ Years
Location: Hyderabad
Job Responsibilities
- 5+ 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 Have
Minimum Qualification
- Bachelors or Masters 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 Relationship
- Reports 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 Haves
- Experience 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 Life
- Lead 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.
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