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
Description
Here's how it works: Students complete a full day of academics in two highly concentrated hours, then spend the rest of their day launching podcasts, painting murals, or perfecting their back-handsprings. This is the 2-Hour Learning system that drives Alpha Anywhere—and you'll be the strategist maintaining its momentum while building the next evolution.
From any location with reliable Wi-Fi, you'll convert massive volumes of AI-generated performance data into precise, timely interventions that propel each learner toward 90% mastery and higher. When a student encounters an obstacle, you'll conduct a live coaching session, eliminate 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 unlock children's complete potential and engineering next-generation AI solutions capable of doubling learning velocity.
Parents observe dramatic increases in self-confidence, students double their learning pace, and you witness the immediate effect of every insight you generate, every AI workflow you build, and every question you pose. Ready to convert data into acceleration 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 intervention calls and leading post-assessment coaching sessions to eliminate blockers, distinguish knowledge gaps from mistakes, and maintain student motivation
- Assessing and deploying new educational applications and content while engineering AI/LLM prototypes to advance learning strategies 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 without visibility into actual results
- Grading assignments, creating 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 hands-on and fast-paced
Key responsibilities
Accelerate student learning outcomes through AI-powered analysis and real-time academic intelligence, reflected in improved metrics such as 2× learning velocity, app engagement, lesson comprehension, response accuracy, and decreased negative learning patterns throughout the Alpha Anywhere network.
Candidate requirements
- Proven experience in data science or similar role, education, EdTech, or a student-support position combining analytical and interpersonal elements
- Competency in Google Sheets data analysis (lookups, pivot tables, filtering)
- Strong emotional intelligence, excellent communication abilities and a kid-friendly coaching approach
- Background building workflows and automations using AI
- Minimum 1 year experience working directly with K-8 students
- Availability 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 fundamental coding skills (Python, JavaScript, etc.) for querying AI APIs
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.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
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