About The Innovation Lab:
The Innovation Lab by UniVisory is a future-focused learning ecosystem designed to help high school students build real-world, interdisciplinary projects in fields like AI, data science, engineering, and robotics. The program emphasizes hands-on learning, mentorship, and portfolio development for top global university applications.
Role Overview:
We are seeking a passionate and experienced AI & Data Science Mentor to guide high school students (Grades 912) in building impactful, real-world projects. The mentor will play a critical role in simplifying complex concepts, fostering curiosity, and helping students translate ideas into tangible outcomes.
Key Responsibilities:
- Mentor students 1:1 and in small groups on AI and data science projects
- Teach foundational and intermediate concepts (e.g., Python, machine learning basics, data analysis, visualization)
- Guide students in ideation, research, and execution of projects
- Help students build portfolios (GitHub, research papers, project showcases)
- Provide feedback on student progress, presentations, and final outputs
- Stay updated with emerging trends in AI and integrate them into sessions
- Collaborate with the UniVisory team to refine curriculum and student experience
Required Qualifications:
- Strong background in AI, Data Science, Computer Science, or a related field
- Proficiency in Python and key libraries
- Experience with machine learning concepts and basic model building
- Prior teaching, mentoring, or working with high school students (preferred)
- Ability to explain complex topics in a simple, engaging way
- Strong communication and interpersonal skills
- Background in interdisciplinary applications (e.g., AI for sustainability, healthcare, finance)
- Experience guiding students in competitions, research, or startup projects
Why Join Us
- Work with highly motivated, globally oriented high school students
- Shape impactful student projects and future leaders
- Be part of a fast-growing, innovation-driven education ecosystem
- Flexible and intellectually rewarding environment
Application Process:
Interested candidates can apply by submitting:
- Resume/CV
- Portfolio/GitHub (if available)
