Abdur Rahman

Key Skills

Software

Redbrick AI

Top Subject Matter

No subject matter listed

Top Data Types

Medical Dicom

Top Label Types

Segmentation

Freelancer Overview

I am a board-certified radiologist with extensive experience in medical imaging data annotation and AI training data projects, particularly in MRI and CT modalities. My background includes working as a Senior Radiology Data Annotator for Prenuvo, where I performed detailed anatomical and pathological labeling across large-scale datasets, collaborated with AI scientists to refine annotation standards, and conducted rigorous quality assurance checks to ensure data accuracy and consistency. I am skilled in interpreting a wide range of imaging studies, maintaining high standards of clinical relevance, and supporting multidisciplinary teams in developing robust AI solutions for healthcare. My expertise spans clinical radiology, data quality assurance, and effective communication with both technical and clinical stakeholders, making me well-equipped to contribute to high-impact AI and data labeling initiatives in the medical domain.

Labeling Experience

Radiology Annotation Specialist

Redbrick AIMedical DicomSegmentation

Prenuvo is a USA-based global leader in preventive whole-body MRI imaging, providing advanced diagnostic im-aging services that support early disease detection and clinical research initiatives worldwide. • Performed anatomical and pathological MRI annotation across multiple organ systems, ensuring accuracy, con-sistency, and clinical relevance. • Conducted quality assurance and peer consistency checks to maintain high data standards in large-scale imaging datasets. • Collaborated with multidisciplinary teams, including AI scientists and technical staff, to refine annotation stand-ards and resolve ambiguous imaging findings. • Supported multiple medical imaging initiatives while strictly adhering to data confidentiality, compliance, and or-ganizational policies.

Prenuvo is a USA-based global leader in preventive whole-body MRI imaging, providing advanced diagnostic im-aging services that support early disease detection and clinical research initiatives worldwide. • Performed anatomical and pathological MRI annotation across multiple organ systems, ensuring accuracy, con-sistency, and clinical relevance. • Conducted quality assurance and peer consistency checks to maintain high data standards in large-scale imaging datasets. • Collaborated with multidisciplinary teams, including AI scientists and technical staff, to refine annotation stand-ards and resolve ambiguous imaging findings. • Supported multiple medical imaging initiatives while strictly adhering to data confidentiality, compliance, and or-ganizational policies.

2023 - 2025

Education

Work History