AI-Driven Science Learning Strategist $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
Can you visualize the intricate dance of atoms or unravel the complexities of ecosystems in your mind? Imagine combining that scientific insight with cutting-edge AI to revolutionize how millions of students learn science. At 2 Hour Learning, we're not just theorizing about the future of science education—we're experimenting, iterating, and bringing it to life.
We're seeking a visionary individual to lead our mission of transforming science education through advanced data analysis, innovative AI applications, and deep subject matter expertise. Your goal? To double the speed at which students grasp scientific concepts, from basic biology to quantum physics.
What you will be doing
- Decoding complex patterns in student learning data using AI, transforming these insights into groundbreaking strategies that revolutionize how science is taught and learned.
- Engineering AI-powered virtual experiments and simulations, bringing abstract scientific concepts to life in ways that captivate and educate students.
- Designing adaptive learning pathways that evolve in real-time, making intricate scientific theories accessible and engaging for students across all proficiency levels.
- Collaborating with a diverse team of educators, scientists, and AI experts to push the boundaries of science education, directly impacting the learning journey of thousands of students.
- Translating dense scientific literature into digestible, AI-enhanced content that not only educates students but ignites their passion for scientific inquiry.
What you will NOT be doing
- Managing traditional science curriculums or handling administrative tasks—this role is about innovation and strategic improvement in how science is taught and learned.
- Working in a silo—you'll be part of a dynamic team pushing the frontiers of AI in science education.
- Focusing solely on theory—every AI model you develop will directly impact how students understand and apply scientific principles in the real world.
Key responsibilities
Drive measurable improvements in student science learning outcomes through AI-driven analysis and implementation, as demonstrated by a 2x acceleration in concept mastery across various scientific domains (biology, chemistry, physics, etc.) and grade levels.
Candidate requirements
- Bachelor's degree or higher in a scientific field (such as Biology, Physics, Chemistry, or similar)
- 3+ years of experience teaching science or developing science 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 scientific concepts to diverse stakeholders in a professional setting
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!
Frequently asked questions
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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.
