Inside Alpha's learning science
What the evidence says about how children learn, and how Alpha builds it into every lesson.
Rigorous science. Real results.
Academics and learning science roles at Alpha design the curriculum, assessments and AI-powered apps behind 2 Hour Learning. You’ll apply what’s known about how students learn, test it against real student data, and see the results across every campus.
THE LEARNING MODEL
The science behind 2 hour learning
In most schools, a class moves at one pace. Gaps compound, and instruction is rarely designed around how children learn.
Alpha built 2 Hour Learning to replace that. Students complete core academics in two hours a day on AI-powered apps. On NWEA MAP, they progress 2.4 to 2.6 times as fast as students in traditional schools.
The apps work when four things are right: a granular curriculum, assessments that show what each student knows, instruction that moves them forward, and the motivation to master every step.
This team designs all four. The work is grounded in the research on explicit instruction, mastery learning, cognitive load and retrieval practice, and tested on student data from 40+ campuses.
Life at Alpha
I led the Life Skills department, where we built programs to develop and measure life skills in kids using AI.
Julia Smolkina, Head of Curriculum & Assessment (ELA)
This is Alpha School
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How Our Schools Work
Watch Video The Roles
Find where students get stuck, then fix it
These roles use student data and AI to find where learning breaks down, and redesign it until it doesn’t.
Built for people with deep subject knowledge who want their work judged by student results. Every role works from the same data Guides see on campus.
- AI-Driven Learning Strategists own one subject. You’ll diagnose gaps, redesign explanations and practice with AI, and make assessments measure real mastery.
- AI-Driven Learning Analysts turn academic data into interventions and run live sessions to unblock students.
- Head and Director of Academics will lead the academic teams and set the standard across subjects.
You’re measured on student results, from mastery checks to MAP, AP and SAT scores.
NOT YOUR OLD SCHOOL
Test ideas with real students
Every change you make shows up in how students perform.
Students across the network learn on the same apps, so a clearer explanation shows its impact fast. Most researchers wait years for that kind of feedback. Here, it arrives while you’re still working on the problem.
Multiply your impact with AI
You’ll use AI every day to design, generate and check learning material.
AI drafts, varies and scales the material, and you decide what’s good enough for students. Every piece it generates is checked against the research before it reaches a child. You bring the judgment, and AI handles the volume.
Grow with a rigorous team
Your ideas have to stand up to the research, and so does everyone else’s.
A shared research library draws on Engelmann, Rosenshine, Willingham and others, and records what Alpha believes, why, and what it rejects. You’ll challenge ideas, refine your own and add what you learn, so your expertise deepens with every project.
WHERE YOU’LL WORK
Build how students learn from anywhere
You can do this work from anywhere in the world.
Your colleagues span time zones, and you’ll work online with campus teams, engineers and data scientists. What you build reaches students across Alpha’s entire school network the next time they log in.
An Evening with Dr. Yeager
Watch Video WHO YOU'LL WORK WITH
Work with learning scientists and builders
Your colleagues include subject specialists, researchers and former teachers who treat learning as a design problem.
You’ll work with engineering and data science on the product, and with campus teams on how the model is delivered. The team suits people who would rather prove an idea than defend it.
"AI isn't replacing teachers. At Alpha, it's making their role more human."
- Newsweek
Alpha LL Check Chart
Watch Video HOW YOU'LL WORK
Turn evidence into better lessons
Nothing reaches students on instinct alone. Each change earns its place in the apps through the same three steps.
- Diagnose: Find recurring errors and misconceptions in student and platform data.
- Redesign: Rework the teaching material, exercises and step-by-step support with AI until students stop stalling.
- Measure: Make tests prove what students know, then check whether learning speeds up.
Subject by subject, the learning model keeps getting better.
Bring your expertise to Alpha
Coming from curriculum design, assessment, research or instructional design? Start here to see where your expertise fits in Alpha’s learning science team.
Ready to find your calling?
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AI-first education leaders.
