Healthcare Administrator - AI Trainer

Join our team as a Healthcare Administrator - AI Trainer and play a crucial role in blending healthcare management expertise with cutting-edge artificial intelligence. In this impactful role, you will utilize your experience as a Medical and Health Services Manager to train AI systems, fostering smarter and more effective solutions for clinical and public health operations.
Key Responsibilities:- Serve as a subject matter expert, explaining healthcare operations, administrative workflows, and team coordination to inform AI model development.- Plan, direct, and coordinate medical and health services for various healthcare settings, including hospitals, clinics, and managed care organizations.- Annotate and structure data to reflect real-world policies and administrative procedures in healthcare.- Collaborate with AI engineers and data scientists to iteratively improve models for clinical and public health applications.- Review, validate, and provide insights on AI-generated outputs for accuracy and compliance with healthcare standards.- Advise on evolving regulations and best practices, ensuring AI alignment with industry requirements.- Help design training materials and guidelines to facilitate effective knowledge transfer into AI systems.
Qualifications:- Extensive experience as a Healthcare Administrator, such as Clinical Director, Health Information- Management Director, Medical Records Manager, or similar leadership roles.- Proven ability to plan, direct, or coordinate medical and health services in diverse healthcare environments.- Exceptional written and verbal communication skills, with demonstrated commitment to clarity and accuracy.- Strong understanding of healthcare system structures, administrative workflows, and policy implementation.- Demonstrated ability to explain complex healthcare concepts to technical and non-technical audiences.- Detail-oriented, analytical, and collaborative, with a passion for advancing healthcare through technology.- Comfort working independently in a remote, fast-paced, and innovative environment.
Preferred Qualifications:- Experience training or collaborating with AI or machine learning development teams.- Familiarity with public health agencies, managed care organizations, or large healthcare networks.
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.