Learning Designer
Crossover
Job Overview
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Job Description
About the Role: Learning Designer
Alpha Anywhere relies on the 2-Hour Learning model, where students complete a full day's academics in two intensive hours, freeing their afternoons for podcasts, murals, gymnastics, or any passion they choose. As a Learning Designer, you will sustain and advance this engine from anywhere with reliable internet access.
You will convert streams of AI-generated performance metrics into precise, real-time interventions that guide every learner toward 90% mastery and higher. When obstacles arise, you will conduct live coaching sessions to eliminate friction on the spot and restore momentum with renewed clarity. At the same time, you will analyze detailed performance datasets to reveal patterns that unlock each child's potential and engineer next-generation AI tools capable of doubling learning velocity.
Parents observe surging confidence, students accelerate their learning pace twofold, and you witness the tangible results of every insight, every automated AI workflow, and every question you pose. If you are ready to convert data into propulsion for young learners, continue below.
What You Will Be Doing
- Constructing precise Academic Data Reports and performing structured analysis to identify issues, highlight irregularities, and initiate corrective action within 48 hours.
- Delivering urgent "rescue" sessions and facilitating post-assessment coaching to eliminate blockers, distinguish conceptual gaps from simple mistakes, and sustain student motivation.
- Assessing and integrating new educational applications and materials while prototyping AI and LLM solutions to advance learning methodologies and address specific obstacles.
- Collaborating with leadership to refine dashboards, tools, and mastery benchmarks as the AI tutor platform continues to develop.
What You Won’t Be Doing
- Attending marathon meeting schedules or producing generic presentations disconnected from measurable impact.
- Grading assignments, drafting lesson plans, or administering conventional educational programs—AI and innovation anchor our approach.
- Engaging in high-altitude strategy with no execution or becoming mired in repetitive tasks—this position demands hands-on involvement and agility.
Learning Designer Key Responsibilities
Elevate student learning outcomes through AI-powered analysis and immediate academic feedback, reflected in improved metrics such as 2× learning velocity, application engagement, lesson mastery, answer precision, and diminished adverse learning behaviors across the Alpha Anywhere ecosystem.
Basic Requirements
- Proven experience in data science or a comparable position, education, EdTech, or student-facing support combining analytical capability with interpersonal skill.
- Competence in Google Sheets data operations (lookups, pivot tables, filtering).
- Elevated emotional intelligence, robust communication abilities, and a child-appropriate coaching approach.
- Track record designing workflows and automations leveraging AI.
Nice-to-have Requirements
- Foundation in learning science, educational theory, or verified success enhancing outcomes via data-informed strategies.
- Familiarity with Generative AI, prompting methods, and introductory coding proficiency (Python, JavaScript, etc.) for interacting with AI APIs.
Key skills/competency
- Data Analysis
- Educational Design
- AI Intervention
- Student Coaching
- Performance Metrics
- Workflow Automation
- Learning Outcomes
- EdTech Innovation
- Google Sheets
- Generative AI
How to Get Hired at Crossover
- Research Crossover's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their remote-first approach.
- Tailor your resume: Highlight specific experience in EdTech, data analysis, AI application, and improving learning outcomes using measurable data.
- Showcase data-driven impact: Provide concrete examples of how you've used data to drive significant improvements in educational settings or product development.
- Prepare for technical interviews: Demonstrate strong competence in Google Sheets, data operations, and an understanding of AI/LLM solutions in practical workflows.
- Emphasize emotional intelligence: Be ready to discuss your child-appropriate coaching approaches and communication skills crucial for student success.
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