MRI Medical Data Annotation Specialist

Globik AI is seeking qualified radiologists and medical imaging professionals to support medical AI projects involving MRI data annotation and evaluation. You will review MRI studies, identify relevant anatomical structures and clinical findings, and evaluate AI-generated outputs according to project-specific medical guidelines.

Responsibilities

• Review assigned MRI studies and related reports.
• Identify and annotate relevant anatomical structures, lesions, and abnormalities.
• Perform classification, localization, segmentation, or other required annotation tasks.
• Maintain consistency across MRI sequences and imaging views.
• Evaluate AI-generated findings or reports against the underlying MRI where required.
• Identify clinically meaningful errors, omissions, or inconsistencies.
• Flag unclear, incomplete, or poor-quality studies.
• Document difficult cases and maintain high annotation quality.

Qualifications

• Qualified radiologists radiology residents MRI specialists or appropriately trained medical imaging professionals.
• Practical experience interpreting MRI studies.
• Strong understanding of MRI anatomy and relevant imaging findings.
• Strong clinical judgment and attention to detail.
• Experience in radiology reporting medical annotation clinical research or medical AI is a plus.

• Maintain high accuracy and consistency across assigned MRI studies.
• Follow project-specific MRI annotation guidelines precisely.
• Maintain consistency across sequences and imaging views.
• Clearly document difficult or ambiguous cases.
• Participate in calibration and quality reviews when required.
• Selected candidates may be required to complete a practical MRI annotation assessment.
• Identity and professional credential verification may be required.
• A reliable internet connection and computer are required.
• Applicants must complete the mandatory application form before proceeding to the assessment.
• Application form: https://forms.gle/JPXSk3BjJk1xY7RT9

Pay

$15–$25/task