Healthcare Annotator (Radiology Imaging)

Role Overview

The Healthcare Annotator (Radiology Imaging) is responsible for accurately labeling medical imaging datasets such as X-ray, CT, MRI, and ultrasound. The role ensures high-quality annotations by interpreting imaging patterns, identifying key anatomical structures, and applying clinical labeling guidelines to support AI/ML model development.

Key Responsibilities

1. Radiology Image Annotation

• Annotate radiology images (X-ray, CT, MRI, ultrasound) following project guidelines and clinical standards.
• Label organs, anatomical structures, and relevant findings such as nodules, fractures, opacities, lesions, and other abnormalities.
• Apply annotation techniques like classification, tagging, bounding boxes, segmentation, and ROI marking.
• Perform slice-level annotation for CT/MRI datasets where required.
  

2. Quality & Review Support

• Perform self-audits to ensure accuracy before submitting work.
• Make corrections based on feedback from reviewers or SMEs.
• Escalate ambiguous or complex cases for clarification.
  

3. Tools & Technical Skills

Experience with or ability to work on:

• RedBrick AI

• OHIF Viewer

• RadiAnt DICOM Viewer

• 3D Slicer (basic functions)

• Labelbox / CVAT / V7 tools

  for medical annotation (bounding box, segmentation)

4. Workflow & Data Handling

• Follow defined SOPs, annotation manuals, naming standards, and versioning guidelines.
• Maintain secure handling of medical imaging datasets and comply with confidentiality requirements.
• Update annotation logs and trackers as required.
  

5. Collaboration

• Work with team leads, QA reviewers, and SMEs for guideline clarifications.
• Attend refresher training sessions to stay updated with project changes.
• Provide constructive feedback on guideline improvements when necessary.
  

Skills & Competencies

• Solid understanding of radiology imaging concepts and human anatomy.
• Familiarity with key radiology terms such as lesion, consolidation, pleural effusion, mass, tumor, fracture, and opacity types.
• High attention to detail and strong visual interpretation ability.
• Ability to follow structured medical annotation guidelines consistently.
• Comfortable working on grayscale and multi-slice imaging data.
  

Education & Experience

• Bachelors

  in one of the following or related fields:
• Radiology / Medical Imaging Technology
• Biomedical Engineering
• Life Sciences / Health Sciences
• Biotechnology
• Nursing or Allied Health Programs
  

• Minimum 3+ years of experience

  in medical annotation, radiology imaging handling, diagnostic imaging workflows, or healthcare AI environments.
• Prior experience with DICOM tools and radiology annotation projects is strongly preferred.