Job description
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.
If you’re ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place!
About the Role
Short-Term Project | US | Remote | Part-Time (15–45 hours)
We are seeking accomplished AI Engineering professionals to join our team for a short-term, high-impact project. In this role, you will review and validate the academic syllabus, course structure, and exam content for an accredited Associate Degree in AI Engineering. Your expertise will ensure our materials meet the highest industry standards, preparing graduates with the skills most in demand in the field.
You will serve as an industry-facing subject matter expert, helping bridge the gap between academic learning and real-world application. This is a unique opportunity to shape the future of AI education while showcasing your expertise.
What You’ll Do
Review academic content, assignments, and exams for technical accuracy, relevance, and industry alignment
Provide targeted feedback to ensure content reflects industry expectations
Guarantee that students are trained in the tools, methods, and mindsets needed to excel in AI engineering roles
Contribute your expertise to bridge the gap between academic design and operational AI solutions
Native English speaker
Bachelor’s degree or higher from a U.S. university in a relevant field (e.g., Computer Science, AI, Engineering)
5+ years of professional experience in AI engineering
Experience with a leading company (e.g., Fortune 500 tech firms, recognized AI startups, or major industry innovators)
Strong professional presence with a track record of thought leadership or impactful contributions to the AI field
Willingness to have your name and title published on our site as part of accreditation requirements
Eligible for submission to our accreditor as an approved subject-matter expert
Project Details
- Type: project-based consulting
- Time commitment: 15-45 hours
- Timeline: August 15th - August 25th
- Location: US
This is a short-term project with a long-term legacy — your expertise will live on in an accredited program, shaping the skills of future AI engineers across industries.
