Learning Experience Designer
$60,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Worldwide
Hours: 8:00 a.m. to 12:00 p.m. CT
Fully-remote
full-time (40 hrs/week)
Long-term role

Learning Experience Designer   $60,000 USD/year

Description

Consider the model: Students complete a full academic day in two high-intensity hours, then dedicate their afternoons to launching podcasts, creating murals, or mastering back-handsprings. This is the 2-Hour Learning framework at the core of Alpha Anywhere—and you are the architect who sustains and advances it.

From any location with reliable internet, you will convert massive streams of AI-generated performance metrics into precise, responsive interventions that drive each learner toward 90% mastery and higher. When obstacles emerge, you will lead real-time coaching sessions, eliminate barriers immediately, and restore student momentum with renewed clarity. At the same time, you will analyze comprehensive student data streams, identify critical patterns that unlock children's capabilities, and engineer next-generation AI systems capable of doubling learning velocity.

Parents observe dramatic gains in confidence, students accelerate their learning pace twofold, and you witness the measurable results of every analysis you produce, every AI process you build, and every question you pose. Prepared to convert data into acceleration for young learners? Continue below.

What you will be doing

  • Constructing highly precise Academic Data Reports and executing structured analysis to identify issues, detect anomalies, and initiate corrective action within 48 hours
  • Leading urgent intervention calls and facilitating post-assessment coaching to eliminate obstacles, distinguish knowledge deficits from execution errors, and sustain student engagement
  • Assessing and deploying emerging educational applications and content while creating AI/LLM prototypes to advance learning methodologies and address targeted challenges
  • Collaborating with leadership to optimize tools, dashboards, and mastery benchmarks as the AI tutor platform advances

What you will NOT be doing

  • Attending protracted meetings or delivering generalized presentation decks with no visibility into tangible results
  • Assessing assignments, creating lesson plans, or administering conventional educational programs—AI and innovation define our approach
  • Functioning solely at strategic altitude without execution or becoming mired in repetitive tasks—this position demands hands-on engagement and adaptability

Key responsibilities

Accelerate student learning outcomes through AI-powered analysis and real-time academic intelligence, evidenced by elevated performance indicators such as 2× learning velocity, application engagement, lesson mastery, answer precision, and diminished negative learning behaviors throughout the Alpha Anywhere network.

Candidate requirements

  • Proven experience in data science or comparable function, education, EdTech, or a student-facing role combining analytical and interpersonal dimensions
  • Competence in Google Sheets data analysis (lookups, pivot tables, filtering)
  • Strong emotional intelligence, excellent communication capabilities, and a student-centered coaching approach
  • Track record building workflows and automations leveraging AI
  • Minimum 1 year experience working directly with K-8 students
  • Availability to work during mandatory core hours of 8:00 AM to 12:00 PM Central Time, Monday through Friday.

Nice to have

  • Foundation in learning science, pedagogical principles, or verified success advancing outcomes through data-informed strategies
  • Familiarity with Generative AI, prompting methods, and foundational coding ability (Python, JavaScript, etc.) for interfacing with AI APIs

Meet a successful candidate

Julia Smolkina
Julia  |   AI-Driven Learning Strategist
Indonesia

As a single mom navigating life in Georgia (the country), Julia needed more than just a remote job - she needed purpose and flexibility. Dis...

Read Julia's Story

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Chat-style
screening interview.
STEP 1

Chat-style
screening interview.

Cognitive 
aptitude test.
STEP 2

Cognitive 
aptitude test.

Prove real-world 
job skills.
STEP 3

Prove real-world 
job skills.

Interview with the hiring manager.
STEP 4

Interview with the hiring manager.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

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