Medical Doctor - Radiologist

About Us

Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.

Job Summary

Join our customer's team as a Radiologist (MD) and make a direct impact on the future of medical imaging. In this role, you will leverage your clinical expertise to review, annotate, and provide feedback on radiological data, directly influencing the accuracy and reliability of cutting-edge AI models. Collaborate remotely with a passionate team advancing healthcare technology.

Key Responsibilities

Review and annotate radiological images, including CT, MRI, and X-ray scans for the training and validation of AI algorithms. Assess AI-generated reports for diagnostic accuracy, clinical clarity, and alignment with established medical standards. Deliver expert feedback on model performance, edge cases, and diverse clinical scenarios to facilitate ongoing improvement. Work closely with AI researchers and data teams, ensuring model outputs are clinically relevant and robust. Maintain strict adherence to clinical guidelines, ethical standards, and data privacy protocols when interpreting medical data. Identify potential improvements in annotation processes and share insights to refine AI learning strategies. Communicate findings and feedback clearly through both written documentation and verbal discussions with cross-functional teams. Participate in ~50 hours per month of dedicated AI training and project work.

Required Skills and Qualifications

Board-certified Radiologist (or equivalent international qualification) with 3–5+ years of clinical imaging experience. Demonstrated expertise in diagnostic accuracy across major modalities (CT, MRI, X-ray). Strong clinical communication skills, both written and verbal, with a keen attention to detail. Experience with PACS and radiological reporting tools for image assessment and workflow integration. Ability to critically evaluate image quality and detect subtle pathologies. Proficiency in English, especially for providing clear, constructive written feedback. Commitment of ~15 hours per week and an average of 50 hours per month for AI training participation.

Preferred Qualifications

Previous exposure to AI/ML concepts, annotation platforms, or data labeling tools. Interest in technology-driven healthcare innovation and model development best practices. Experience collaborating with technical teams in an interdisciplinary environment.