Who We Are
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.
Our Culture
At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:
- Mission-Driven: We focus on creating economic and social impact.
- People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
- Innovative: We embrace change and find better ways to do things, together.
- Globally Connected: We foster collaboration between diverse cultures and perspectives.
We believe meaningful work has the power to transform lives. We’re partnering with leading innovators to harness the power of AI in medicine, improving diagnostic tools, and expanding access to quality healthcare.
Our global community of professionals supports the development of cutting-edge technology that is transforming industries and improving lives — from medical diagnostics to patient care and beyond.
Why Join our Network
We’re building a global network of healthcare professionals — including pathologists, radiologists, and cardiologists — to contribute their medical expertise to projects that advance medical AI research and innovation.
This is not a specific job opening but an ongoing opportunity to collaborate with us on future initiatives that leverage your expertise to shape the next generation of AI-driven healthcare systems.
What You’ll Do
Depending on the project, you may:
- Review and validate medical data or imaging annotations
- Provide domain expertise to improve AI models for diagnostic accuracy
- Help design or review training materials for medical labeling teams
- Contribute to quality assurance or expert validation activities