Job Title: Diagnostics & Medical Imaging AI Trainer

Job Type: Full-time or Part-time, contract

Location: Remote

Job Summary

Join our customer's innovative team as a Diagnostics & Medical Imaging AI Trainer, where your clinical expertise will drive the advancement of next-generation AI solutions in medical imaging. Leverage your deep knowledge of imaging modalities, anatomy, and pathology to train AI systems and improve diagnostic accuracy. This is a unique opportunity to make a significant impact on healthcare technology from anywhere in the world.

Key Responsibilities

• Deliver expert insights to help develop, validate, and refine AI models used in diagnostic imaging workflows.
• Review and annotate clinical imaging datasets, ensuring high accuracy and adherence to clinical standards.
• Collaborate with data scientists and engineers to translate clinical needs into effective AI training protocols.
• Provide guidance on optimal imaging acquisition techniques and troubleshooting common issues in X-ray, MRI, CT, and ultrasound.
• Evaluate imaging results and recommend protocol adjustments to maximize diagnostic value.
• Support continuous improvement of AI products through feedback, case review, and quality assurance.
• Act as a liaison between clinicians and technical teams, fostering clear, effective communication and education.

Required Skills and Qualifications

• Academic background may include either a Medical Doctor (MD) degree with training in radiology or a Radiologic Technologist / Radiology Technician qualification.
• Proven proficiency in operating imaging equipment (X-ray, MRI, CT, ultrasound) and producing high-quality diagnostic images.
• Strong anatomical and pathophysiological knowledge, with the ability to recognize abnormalities and optimize imaging views.
• Experience in clinical interpretation and evaluation of diagnostic images or protocols.
• Exceptional written and verbal communication skills, with the ability to convey complex clinical information clearly to technical and non-technical audiences.
• Demonstrated skill in patient preparation, guidance, and care coordination during imaging procedures.
• Collaboration experience with multidisciplinary teams, including physicians and technologists.
• Keen attention to detail and a commitment to clinical excellence.

Preferred Qualifications

• Background as a board-certified radiologist or experienced imaging technologist.
• Previous involvement in AI model development, data annotation, or validation in a healthcare setting is a nice-to-have. No prior experience needed.
• Experience with digital health platforms or clinical informatics.

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