Radiologist Annotator

Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions.

Fueled by our human expertise, our team has executed projects enabling cutting-edge technology that has revolutionized automation in many sectors. We do this by harnessing the power of human-generated AI and ML thus facilitating seamless global business automation and enhancing efficiency and productivity.

At Macgence, we are committed to providing our customers with high-quality, timely solutions that address their specific needs and challenges. We understand the crucial role of accurate, reliable human-generated data in driving AI and ML systems. As a result, we leverage our expertise to curate high-quality ~ 95%+ accuracy datasets. These datasets fuel innovation and deliver tangible results.

Partnering with Macgence means gaining a trusted ally in your journey towards leveraging the power of AI and ML. We are dedicated to empowering businesses, optimizing processes, and driving growth through our innovative data solutions.

Job Overview: We are seeking a skilled and detail-oriented individual to join our team as a Radiologist Annotator. In this role, you will be responsible for analyzing medical images and providing accurate annotations to support the development of machine-learning algorithms for medical diagnosis and treatment planning.

Key Responsibilities:

  1. Analyze medical images such as X-rays, CT scans, MRI scans, and ultrasounds to identify relevant anatomical structures and abnormalities.
  2. Accurately annotate and label medical images with information such as lesion boundaries, anatomical landmarks, and diagnostic findings.
  3. Follow established protocols and guidelines for image annotation to ensure consistency and quality.
  4. Collaborate with radiologists, data scientists, and engineers to understand annotation requirements and project objectives.
  5. Review annotated images to ensure accuracy and completeness, making adjustments as necessary.
  6. Maintain detailed documentation of annotation procedures and guidelines.
  7. Assist in the development and refinement of annotation tools and workflows to improve efficiency and productivity.
  8. Keep abreast of developments in medical imaging technology and participate in training programs to enhance annotation skills.


  1. Medical degree (MD or equivalent) with specialization in radiology.
  2. Board certification or eligibility in radiology.
  3. Strong understanding of medical imaging modalities and anatomy.
  4. Experience interpreting and analyzing medical images in a clinical setting.
  5. Proficiency in using medical imaging software and tools for image analysis and annotation.
  6. Excellent attention to detail and ability to maintain accuracy in image annotation.
  7. Effective communication skills with the ability to collaborate with multidisciplinary teams.
  8. Ability to work independently and manage time effectively to meet project deadlines.
  9. Familiarity with machine learning concepts and applications in medical imaging is a plus.

Why Join Us:

  • Opportunity to contribute to developing innovative AI solutions for medical diagnosis and treatment.
  • A collaborative and supportive work environment with opportunities for professional growth and development.
  • Competitive salary and benefits package.
  • Make a meaningful impact on patient care and healthcare outcomes through cutting-edge technology.

If you are a motivated and dedicated radiologist with a passion for medical imaging and technology, we invite you to apply for the position of Radiologist Annotator and be part of our dynamic team.

For more enquiry:

Job Category: Operations
Job Type: Full Time
Job Location: Noida

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