E-learning Developer
$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

E-learning Developer   $60,000 USD/year

Description

Imagine this: Children complete an entire day's academic work in two intensely productive hours, then spend their afternoons launching podcasts, creating murals, or mastering back-handsprings. This is the 2-Hour Learning system that drives Alpha Anywhere—and you're the tactician who maintains its performance while engineering its next evolution.

From any location with reliable internet, you'll convert massive volumes of AI-generated performance data into precise, timely interventions that guide each learner toward 90% mastery and higher. When a child encounters an obstacle, you'll initiate a live coaching session, eliminate the barrier immediately, and restore their momentum with renewed confidence. At the same time, you'll analyze dense streams of student performance metrics, identifying concealed patterns that release children's complete potential, building next-generation AI systems that could double learning velocity.

Parents observe rising self-confidence, students double their learning pace, and you witness the tangible results of every insight you generate, every AI workflow you streamline, and every question you pose. Prepared to convert data into acceleration fuel for developing minds? Continue reading.

What you will be doing

  • Constructing highly precise Academic Data Reports and executing systematic analysis to identify issues, detect anomalies, and initiate corrections within 48 hours
  • Conducting rapid-intervention "rescue" sessions and facilitating post-assessment coaching calls to eliminate blockers, distinguish knowledge gaps from mistakes, and sustain student motivation
  • Assessing and deploying new educational applications and content while creating AI/LLM prototypes to advance learning methodologies and address specific challenges
  • Collaborating with leadership to optimize tools, dashboards, and mastery benchmarks as the AI tutor advances

What you will NOT be doing

  • Attending endless meetings or delivering generic presentations with no visibility into actual results
  • Grading papers, composing lesson plans, or administering traditional educational programs—AI and innovation power our approach
  • Working in abstract strategy without execution or becoming trapped in repetitive tasks—this position is practical and dynamic

Key responsibilities

Accelerate improved student learning outcomes through AI-powered analysis and real-time academic insights, evidenced by enhanced metrics like 2× learning velocity, app engagement, lesson comprehension, response accuracy, and reduced negative learning patterns across the Alpha Anywhere network.

Candidate requirements

  • Proven experience in data science or related role, education, EdTech, or a student-support position with both analytical and interpersonal dimensions
  • Proficiency in Google Sheets data analysis (lookups, pivot tables, filtering)
  • High emotional intelligence, strong communication skills and a kid-friendly coaching style
  • Experience building workflows and automations with AI
  • At least 1 year experience working closely with K-8 students
  • Available to work during required core hours of 8:00 AM to 12:00 PM Central Time, Monday through Friday.

Nice to have

  • Background in learning science, educational principles, or demonstrated success improving outcomes through data-driven strategies
  • Experience with Generative AI, prompting techniques, and basic coding skills (Python, JavaScript, etc.) for querying 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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