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.
What You'll Do
Review trial lesson feedback and score it for pedagogical relevance, shaping what learners see next
Evaluate grammar exercises for content quality and pedagogical alignment
Connect lesson insights back to core grammar concepts so learning content builds logically
Use learner data to drive continuous improvement of English learning content
Requirements
Bachelor's degree or higher in education, TESOL/TEFL, applied linguistics, or a related field
Solid grounding in pedagogy and language teaching methodology, ideally with curriculum or lesson design experience
Experience evaluating, annotating, or quality-reviewing educational content — EdTech or AI-assisted learning experience is a strong plus
Advanced English proficiency (CEFR C1 or higher)
Engagement details
Type: Contract
Time commitment: 10-20 hours per week
Project duration: 4 weeks, potential extension
