Instructional Designer, 2 Hour Learning

vor 2 Wochen

Wien, Österreich Crossover Vollzeit

Can you see the patterns in numbers that others miss? Imagine harnessing that insight, combined with cutting-edge AI, to revolutionize how millions of students learn mathematics. At 2 Hour Learning, we're not just talking about the future of math education—we're coding it into reality.

**What you will be doing**
- Uncover hidden patterns in student learning data using AI, turning these insights into strategies that revolutionize how math is taught and learned.
- Craft the perfect math problems and lessons using AI, ensuring each student gets the right challenge at the right time to accelerate their learning.
- Design AI-powered learning pathways that adapt in real-time, making complex math concepts accessible and engaging for students of all levels.
- Collaborate with a team of education and AI experts to push the boundaries of what's possible in math education, directly impacting the learning journey of thousands of students.
- Transform dense mathematical theories into digestible, AI-enhanced content that students not only understand but get excited about.

**What you will NOT be doing**
- Managing traditional math programs or handling administrative tasks—this role is about innovation and strategic improvement in how math is taught and learned.
- Working in isolation—you'll be part of a dynamic team pushing the boundaries of AI in math education.

**Key Responsibilities**

Drive measurable improvements in student math learning outcomes through AI-driven analysis and implementation, as demonstrated by a 2x acceleration in concept mastery across various mathematical domains and grade levels.
- Bachelor's degree or higher in Mathematics, Applied Mathematics, Statistics, or a related field
- 3+ years of experience teaching mathematics or developing math curriculum, with demonstrable impact on learning outcomes
- Basic coding abilities in any programming language
- Experience designing, implementing, or using AI systems for tasks such as content generation, data analysis, or adaptive learning
- Demonstrated ability to analyze complex data and derive actionable insights from it
- Excellent communication skills, with the ability to explain complex mathematical concepts to diverse stakeholders in a professional setting

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