Education Specialist - AI Trainer

Remote-

Ryz Labs

Unlock the power of LatAm's elite nearshore talent with Ryz Labs. Our top-tier staff augmentation services provide access to the brightest minds in software development, IT, sales, ops, and CS. Elevate your team and achieve unparalleled results...

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We are seeking an Education Specialist - AI Trainer, you'll play a pivotal role in training and evaluating advanced AI systems in tasks related to educational content, pedagogy, curriculum design, and learning assessment. Your expertise in instructional theory, cognitive science, and classroom practice will guide the development of high-quality and pedagogically sound outputs across various student-facing use cases. This role offers an exciting opportunity to apply your educational expertise in a cutting-edge, interdisciplinary environment.
Responsibilities: - Evaluate AI-generated educational content and provide expert feedback on pedagogy, structure, and clarity.- Score and critique model outputs related to tutoring, instructional design, and assessment across K–12, higher education, and lifelong learning domains.- Collaborate with cross-functional teams to develop annotation standards and quality criteria for educational data.- Help identify areas for improvement in AI behavior, such as cognitive scaffolding, differentiation, or culturally responsive pedagogy.- Support the design and curation of realistic prompts, instructional materials, and assessments for training and fine-tuning purposes.- Adapt to new task definitions and evolving rubrics as our product and models grow.
Qualifications:- PhD in Education, Learning Sciences, Instructional Design, Curriculum & Instruction, Educational Psychology, or a related field.- Deep understanding of pedagogical theory and learning design—especially with constructivist, inquiry-based, or evidence-based frameworks.- Experience teaching or designing curriculum at the K–12, undergraduate, or graduate levels.- Strong analytical, evaluative, and writing skills—able to assess content quality from both technical and instructional perspectives.- Comfort working with digital tools and structured educational tasks (e.g., scoring rubrics, taxonomy frameworks, educational standards).- Interest in the application of AI in education, with an open but critical perspective on its role in teaching and learning.
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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Deep Learning Jobs

Tags: PhD Teaching

Perks/benefits: Career development Startup environment

Region: Remote/Anywhere

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