Develop graduate-level Applied AI course materials, including lessons, labs, case studies, assignments, rubrics, projects, readings, templates, and videos. Design practical activities using LLMs, RAG, AI agents, automation, APIs, and evaluation tools. Collaborate with learning designers and university faculty, explain complex concepts to nontechnical learners, maintain academic quality, and update content as AI tools and regulations evolve.
Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We’ve been doing it for over five years, teaching complete beginners (people with no prior tech background) through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We’re looking for an experienced Course Author in Applied AI to help design and develop a graduate-level online program in Applied Artificial Intelligence, delivered in partnership with a US university. The program is built for working professionals in fields such as marketing, operations, finance and HR. They learn to evaluate, build, integrate, deploy and govern AI solutions using modern no-code and low-code tools. You’ll turn approved course syllabi into engaging, rigorous learning materials and help shape how a new generation of AI practitioners learns to make sound, defensible decisions.
This is a part-time, project-based opportunity for subject matter experts who are passionate about teaching, curriculum design and helping learners succeed.
Please submit all resumes or CVs in English.
After applying for this position, you will be required to complete a test assignment after your Online Introductory Call.
Project details are shared after signing an NDA.
What you will do- Develop graduate-level course content in Applied AI based on approved syllabi: guided lessons, hands-on labs, case studies, weekly assignments and final projects, mostly in text and video format.
- Write clear assignment briefs and analytic rubrics for all graded work, including explicit rules on when and how students may use AI tools.
- Design practical labs on current AI platforms (LLM assistants, RAG applications, workflow automation, AI agents, APIs and monitoring tools), and make sure every graded task can be completed with free or open-source tools.
- Curate reading lists of research papers, standards and vendor documentation, and explain why each source matters.
- Create supporting materials: preparatory (non-credit) modules for learners without a technical background, a program glossary, templates and worked examples.
- Collaborate with the LX designer and the student experience team on learning objectives, course structure and assessment design (if you don’t have experience with this, that’s ok).
- Consult on Applied AI-related questions, and keep content up to date as tools and regulations change.
- Revise content based on academic review by the partner university’s faculty, and make sure it meets graduate-level academic standards.
- 5+ years of recent professional experience in applied AI/ML, data, AI automation, or a related field, including hands-on experience with LLMs.
- A master’s degree or PhD in a relevant field, or 10+ years of senior professional experience in AI or a related industry.
- Practical knowledge of AI tools and workflows, including prompt engineering, RAG, AI agents, automation, APIs, and LLM evaluation.
- Experience applying AI to real business problems, considering business value, cost, risk, and reliability.
- Experience teaching, mentoring, or creating educational content, with the ability to explain complex concepts to non-technical audiences.
- Strong English communication skills (C1+), including clear professional and educational writing.
- Strong organizational and collaboration skills, with the ability to work proactively, incorporate feedback, and meet agreed deadlines.
Nice-to-have
- Experience designing courses or learning materials for higher education or online programs.
- Familiarity with AI strategy, business cases, or responsible AI practices or governance.
- Experience with EdTech or learning platforms, or contributions to the AI community through publications, talks, or open-source projects.
- Fully remote, part-time collaboration (at least 25h/week).
- Compensation: fixed fee per course package, paid in milestones.
- A diverse team across Europe, the US, Latin America and more.
- Modern digital tools for seamless collaboration.
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