At CloudFactory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.
More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
If you're ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place.
We're looking for US-credentialed clinical professionals to support a specialized clinical data annotation and normalization project focused on Sepsis, using the MIMIC IV de-identified dataset. No prior sepsis specialization is required, we're looking for clinicians who can apply sound clinical judgment and structured annotation guidelines consistently.
In this role, you'll use your clinical expertise to review and interpret de-identified electronic health record (EHR) data, helping ensure that clinical information is accurately annotated, normalized, and structured for downstream use in healthcare technology and AI applications.
This is a hands-on opportunity to apply your clinical knowledge outside of traditional patient care and contribute to a project focused on improving how healthcare data can be understood and used.
We're particularly interested in clinicians with experience in critical care, intensive care, emergency medicine, or other acute-care environments, where familiarity with complex patient presentations and clinical documentation is valuable.
Requirements
What We're Looking For
Preferred Experience
Training & Certification
Before beginning project work, selected candidates will complete a required training program. The training is expected to take less than one day and will include certification through PhysioNet.
Engagement Details
Type: Independent Contractor
Time commitment: 25-40 hours per week
Project duration: approximately 3 months
Working arrangement: Remote, US based
Expected start date: September 15, 2026
Bridge the gap between your AI’s promise and its real-world performance. Our technology and talent help you develop, deploy, and operate reliable, trustworthy AI from idea to production faster. We ensure your data is ready for reliable AI models, improve performance with continuous feedback loops, and close the confidence gap by making your AI systems accurate and safe at scale.
We achieve this by combining machine and human intelligence. Our modular and flexible AI platform uses a human-in-the-loop approach to correct errors and edge cases that automation alone can’t handle, continuously improving model performance. With an inference-centric methodology, unique datasets, and our skilled professionals, we enable ML teams to build better AI solutions for real-world problems, ensuring seamless development and monitoring that speeds up production and drives real financial impact.
Founded in 2010, CloudFactory is on a mission to empower talented people around the world to become the skilled humans in the loop vital for unlocking AI's full potential. We’re on four continents, with offices in the UK, the US, Germany, Kenya, and Nepal. To learn more, visit www.cloudfactory.com.
