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Join the AI Revolution: Lead the Development of AI Tutors at Universa AI Academy
Overview
Salary
No salary declared 😔
Location
Expires
Expires at anytime
Organisation Summary
Universa AI Academy is an ambitious institution seeking to revolutionize learning by removing human instructors and creating a fully AI-powered curriculum. By joining us, you will be a pioneer in the educational field and a vital part of our thrilling voyage towards the future of learning.
Role Summary
- Transforming a comprehensive AI Engineering syllabus into AI-fueled learning experiences
- Developing specialized LLM training protocols for each module of our curriculum
- Creating detailed training datasets, fine-tuning strategies, and evaluation frameworks
- Developing automated feedback systems and specialized knowledge bases
- Designing interactive problem-solving approaches and peer learning facilitation systems
- Implementing a continuous improvement process
Role Requirements
- A seasoned AI developer with a knack for innovative and transformative educational techniques
- Experience in Python fundamentals, RAG systems, hardware optimization, and creating datasets
- Strong understanding and penchant for autonomous and self-guided learning methods
- Ability to independently design, develop, and implement complex AI systems
- Proficient in creating evaluation frameworks and fine-tuning strategies
- Experience in peer learning facilitation and creating dynamic problem-solving systems
We’re seeking an experienced AI developer to lead the development and implementation of AI tutors for the Universa AI Academy curriculum. This autonomous role will be responsible for transforming our comprehensive 6-month AI Engineering syllabus into fully AI-powered learning experiences, creating a self-guided educational system without human instructors.
Key Responsibilities
•Independently design and develop specialized LLM training protocols for each module of our AI Academy curriculum, from Python fundamentals to advanced topics like RAG systems and hardware optimization
•Create detailed training datasets and fine-tuning strategies to ensure AI tutors can serve as the primary instructional method across all technical domains
•Implement robust evaluation frameworks to assess AI tutor performance and learning outcomes
•Develop comprehensive automated feedback systems to replace traditional instructor assessment
•Create specialized knowledge bases that allow AI tutors to guide students through hands-on exercises and capstone projects with minimal human intervention
•Design interactive problem-solving approaches that mimic expert guidance
•Build systems for peer learning facilitation where AI tutors can moderate and guide student collaboration
•Implement continuous improvement processes based on student interactions and performance metrics
This is the final opportunity to join this program for free. Further cohorts will have only paid access to it. Don't miss it, join AI Revolution.
