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

Learning Designer   $60,000 USD/year

Description

Imagine this: Children complete an entire day's worth of academics in two highly focused hours, then spend their afternoons launching podcasts, creating murals, or mastering their back-handsprings. This is the 2-Hour Learning model that drives Alpha Anywhere—and you'll be the strategist maintaining its excellence while driving its evolution.

From any location with reliable internet, you'll convert vast amounts of AI-generated performance data into precise, timely interventions that guide each learner toward 90% mastery and beyond. When a learner encounters an obstacle, you'll conduct a live coaching session, remove the barrier in the moment, and restore their momentum with renewed confidence. At the same time, you'll analyze detailed student performance data streams, identifying hidden patterns that release children's full potential and engineering next-generation AI solutions capable of doubling learning velocity.

Parents observe dramatic gains in self-confidence, students accelerate their learning speed twofold, and you witness the immediate impact of every insight you generate, every AI workflow you streamline, and every question you pose. Prepared to convert data into acceleration fuel for young learners? Continue reading.

What you will be doing

  • Creating highly precise Academic Data Reports and performing systematic analysis to identify issues, detect anomalies, and initiate corrections within 48 hours
  • Conducting rapid-response "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 building 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 slide presentations with no visibility into actual results
  • Grading papers, creating lesson plans, or administering traditional educational programs—AI and innovation power our approach
  • Working in high-level strategy without execution or becoming trapped in routine tasks—this position is hands-on and dynamic

Key responsibilities

Enhance student learning outcomes through AI-driven 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
  • Competence in Google Sheets data analysis (lookups, pivot tables, filtering)
  • Strong emotional intelligence, excellent communication abilities and a kid-friendly coaching approach
  • Experience creating workflows and automations with AI
  • At least 1 year experience working directly 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

  • Foundation in learning science, educational principles, or proven success enhancing 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.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

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