Learning 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
Fully-remote
full-time (40 hrs/week)
Flexible schedule
Long-term role

Learning Designer   $60,000 USD/year

Description

Consider this: Children complete a full day's academic work in two highly focused hours, then spend their afternoons launching podcasts, painting murals, or perfecting their back-handsprings. This is the 2-Hour Learning model that drives Alpha Anywhere—and you'll be the strategist maintaining its excellence while pioneering its evolution.

From any location with reliable internet access, you'll convert vast volumes of AI-generated performance data into precise, timely interventions that propel each learner toward 90% mastery and higher. When learners encounter obstacles, you'll conduct live coaching sessions, eliminate the barrier immediately, and restore their momentum with renewed confidence. At the same time, you'll analyze detailed student performance data streams, identifying concealed patterns that unlock children's complete potential and designing next-generation AI solutions capable of doubling learning velocity.

Parents observe rising self-confidence, students double their pace of learning, and you witness the measurable impact of every insight you generate, every AI workflow you automate, and every strategic question you pose. Prepared to convert data into acceleration for young learners? Continue reading.

What you will be doing

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

What you will NOT be doing

  • Attending endless meetings or delivering generic presentations with no visibility into actual outcomes
  • Grading papers, creating lesson plans, or administering traditional educational programs—AI and innovation power our approach
  • Working solely in high-level strategy without execution or becoming trapped in routine tasks—this position is hands-on and dynamic

Key responsibilities

Drive enhanced student learning outcomes through AI-powered analysis and real-time academic insights, evidenced by improved metrics such as 2× learning velocity, app engagement, lesson comprehension, response accuracy, and decreased 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

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

Applying for a role? Here’s what to expect.

Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.

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.

Accept job offer.
STEP 6

Accept job offer.

Pass
proctored test.
STEP 5

Pass
proctored test.

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