Do you dream of a world where education adapts to each learner in real-time? Join us in harnessing the power of AI to make that vision a reality.
At 2 Hour Learning, we're not just reimagining education—we're revolutionizing it with undeniable results. Our AI-driven learning ecosystem is transforming K-12 education, harnessing cutting-edge advancements in learning science, motivational theory, and psychometrics to create a digital environment twice as efficient as traditional schooling. The proof? Our students consistently score 4s and 5s on five or more AP exams, advance more than one grade level annually on MAP tests, and shatter their learning goals.
We're seeking a strategist to lead our efforts to transform student learning through advanced data analysis, strategic content evaluation, and innovative AI applications.
Imagine diving deep into rich streams of student performance data, uncovering hidden patterns that could unlock a child's full potential. Picture yourself at the helm of selecting and implementing next-generation educational tools that could double learning speed. Envision leveraging the latest AI technologies to create personalized learning experiences that adapt to each student's needs in real-time.
If you're passionate about leveraging AI to tackle real educational challenges, find joy in the nitty-gritty of data analysis, and are driven by the satisfaction of seeing direct improvements in student learning outcomes, we want to hear from you. Join us in reshaping learning for the AI age, backed by undeniable student success. Apply now and be part of the learning revolution at 2 Hour Learning!
For more information on 2 Hour Learning, visit our website [https://2hourlearning.com/] and the Future of Education Instagram page [https://www.instagram.com/futureof_education/]. To see a school built around 2 Hour Learning, check out Alpha [https://alpha.school/].
What you will be doing
- Conducting systematic analysis of student learning data, uncovering learning gaps and low engagement levels to drive improvements in our educational tools and content.
- Evaluating and implementing new educational apps, lesson plans, and tests based on data-driven insights to enhance academic outcomes for specific subjects and grades.
- Leveraging AI tools and methodologies to develop and refine a personalized knowledge base, innovating and improving educational strategies and outcomes in specific subjects.
- Designing prototypes for AI/LLM-based solutions targeting specific learning challenges, then testing and refining these solutions based on feedback and efficacy.
What you will NOT be doing
- Handling administrative tasks or traditional educational program management—this role is about innovation, not maintaining the status quo.
- Taking on high-level strategic roles without hands-on analysis, design, and implementation work.
- Engaging in predictable, routine tasks—this role embraces dynamic challenges and continuous learning opportunities.
Key Responsibilities
Drive improved student learning outcomes through AI-driven analysis, demonstrated by enhanced metrics like app engagement, lesson comprehension, response accuracy, and reduced negative learning patterns.
Candidate Requirements
- A university degree in any field (Education, Psychology, or related fields are a bonus)
- 3+ years of experience in an EdTech, corporate learning & development, or academic role, with responsibilities such as curriculum development, educational data analysis, digital tool integration, or developing corporate training solutions
- Experience with Generative AI (such as ChatGPT, Claude, Gemini, or Copilot), including basic prompting techniques and understanding of AI's potential and limitations
- Basic coding skills in an object-oriented language (e.g. Python, JavaScript, Ruby, C#, etc.) to create simple scripts for querying AI models through their APIs in notebook environments.
Nice to have
- Strong background in learning science and educational principles
- Experience in applying AI/tech to solve educational problems
- Demonstrated success in improving learning outcomes through data-driven strategies