Learning Designer $100,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks ($50 USD/hour)
Description
Do you have the knack for spotting numerical patterns that others often overlook? Envision using that talent alongside state-of-the-art AI to transform the educational journey of millions learning mathematics. At 2 Hour Learning, we're not just imagining the future of math education—we're actively creating it.
We're on the hunt for a math aficionado to lead our mission in reshaping mathematics education through sophisticated data analysis, pioneering AI applications, and profound subject matter expertise. Your task? To double the pace at which students grasp mathematical concepts, ranging from basic arithmetic to complex calculus.
If you're enthusiastic about utilizing AI to tackle real-world educational challenges in mathematics, take pleasure in discovering insights that revolutionize student comprehension and application of mathematical concepts, and are motivated by the opportunity to influence the future of math education, we want you on our team. Join us in redefining K-12 mathematics education. Apply today and be a part of the educational revolution at 2 Hour Learning!
Learn more about 2 Hour Learning on our website and the Future of Education on our Instagram page. To see an institution built around 2 Hour Learning, visit Alpha.
What you will be doing
- Discover latent patterns in student learning data with AI, converting these insights into strategies that revolutionize math education.
- Create the ideal math problems and lessons using AI, ensuring each learner receives the right challenge at the right moment to enhance their learning.
- Design AI-driven learning pathways that adapt in real-time, making complex math concepts accessible and engaging for students of all levels.
- Work alongside a team of education and AI experts to expand the possibilities in math education, directly influencing the learning path of countless students.
- Convert intricate mathematical theories into engaging, AI-enhanced content that students not only comprehend but also enjoy.
What you will NOT be doing
- Managing conventional math programs or dealing with administrative duties—this position is focused on innovation and strategic enhancement of math teaching and learning.
- Working solo—you'll be part of a vibrant team advancing AI in math education.
- Concentrating on theory without practical application—each algorithm you create will have a direct impact on student learning and understanding of mathematics.
Key responsibilities
Lead efforts to achieve significant improvements in student math learning outcomes through AI-driven analysis and implementation, evidenced by a twofold increase in concept mastery across various mathematical domains and grade levels.
Candidate requirements
- Bachelor's degree or higher in Mathematics, Applied Mathematics, Statistics, or a related discipline
- Over 3 years of experience teaching mathematics or developing math curriculum, with proven impact on learning outcomes
- Basic programming skills in any language
- Experience in designing, implementing, or using AI systems for content generation, data analysis, or adaptive learning
- Proven ability to analyze complex data and extract actionable insights
- Exceptional communication skills, capable of explaining intricate mathematical concepts to diverse stakeholders in a professional environment
How it works
Applying for a role? Here’s what to expect.
We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
STEP 6
Celebrate!
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Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
