Learning Support Analyst
$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 

Not accepting applications on crossover.com at this time.

Description

Picture this: Kids knock out a full day's academics in just two laser-focused hours, then launch podcasts, paint murals, or perfect their back-handsprings all afternoon. That's the 2-Hour Learning engine that powers Alpha Anywhere—and you're the one who keeps it humming. Working from any Wi-Fi-friendly corner of the planet, you'll transform tidal waves of AI-generated performance data into exact, timely interventions that push every learner toward 90% mastery and beyond. When a student hits a snag, you jump on a live coaching call, dissolve the blocker in real time, and send them back into their flow with fresh confidence. Parents witness soaring self-belief, students double their learning speed, and you see the impact of every insight you craft and every question you ask. Ready to turn data into rocket fuel for young minds? Keep reading.

What you will be doing

  • Building laser-accurate Academic Data Reports that surface issues and trigger fixes inside a 48-hour window
  • Hosting rapid-response "rescue" calls that resolve blockers and leave kids motivated to tackle the next challenge
  • Running post-assessment coaching sessions to separate knowledge gaps from careless errors and assign crystal-clear next steps
  • Flagging roster quirks or data anomalies the moment they appear, safeguarding the integrity of every metric
  • Syncing with Parent Support and Academics leadership to refine tools, dashboards, and mastery thresholds as the AI tutor evolves

What you will NOT be doing

  • Sitting through endless meetings waiting for your insights to matter
  • Handing off generic slide decks with no line of sight to outcomes
  • Grading stacks of paper or writing lesson plans—the AI does the heavy lifting

Key responsibilities

Deliver real-time academic insights and student-facing interventions that sustain 2× learning velocity across the Alpha Anywhere network.

Candidate requirements

  • Demonstrated ability working in data science or related role, education, EdTech, or a student-support role with both analytical and interpersonal components.
  • Proficiency in Google Sheets data analysis (lookups, pivot tables, filtering…)
  • High emotional intelligence, strong communication skills and a kid-friendly coaching style

Meet a successful candidate

Watch Interview
CeCe
CeCe  |  Lead Guide
United States  

Has the harsh reality of teaching in a broken system worn you down? This compassionate Lead Guide is redefining what it means to support kid...

Meet CeCe

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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.

Accept Job Offer.
STEP 5

Accept Job Offer.

Pass 
proctored test.
ONE LAST THING

Pass 
proctored test.

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Shortlist by skills, not bias

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