Join our client’s team as a Radiologist – AI Trainer and directly influence the future of medical imaging. In this position, you’ll use your clinical expertise to review, annotate, and provide feedback on radiological data, playing a crucial role in improving the accuracy and reliability of groundbreaking AI models. You’ll collaborate remotely with a dedicated 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.
– Evaluate AI-generated reports for diagnostic accuracy, clinical clarity, and compliance with established medical standards.
– Provide expert feedback on model performance, edge cases, and diverse clinical scenarios to support continuous improvement.
– Work closely with AI researchers and data teams to ensure model outputs are clinically relevant and robust.
– Strictly adhere 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 through written documentation and verbal discussions with cross-functional teams.
– Engage in 50 hours per month of dedicated AI training and project work.
Qualifications:
– Board-certified Radiologist (or equivalent international qualification) with 3–5+ years of clinical imaging experience.
– Proven expertise in diagnostic accuracy across major modalities (CT, MRI, X-ray).Strong clinical communication skills, both written and verbal, with meticulous attention to detail.
– Experience using PACS and radiological reporting tools for image assessment and workflow integration.
– Ability to critically evaluate image quality and detect subtle pathologies.
– Proficiency in English for providing clear, constructive written feedback.
– Commitment to dedicating 50 hours per month to 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.
About RYZ Labs:
RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world’s largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.
Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.
At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.
Our values and what to expect:
– Customer First Mentality – every decision we make should be made through the lens of the customer.
– Bias for Action – urgency is critical, expect that the timeline to get something done is accelerated.
– Ownership – step up if you see an opportunity to help, even if not your core responsibility.
– Humility and Respect – be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.
– Frugality – being frugal and cost-conscious helps us do more with less
– Deliver Impact – get things done in the most efficient way.
– Raise our Standards – always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.