This role is suited for academic leaders who prefer designing the system to critiquing it. You possess sufficient subject fluency to recognize high‑caliber learning, the rigor to translate that understanding into rubrics and AI‑enabled quality controls, and the pragmatism to act decisively on incomplete data. Student improvement is your priority, and you are prepared to be measured by those results.
2 Hour Learning pursues an objective that the broader education and software industries seldom undertake. The model includes no teachers, no textbooks, and no fallback layer of conventional instruction. AI serves as the operational foundation. In this capacity, you will leverage it to produce and refine learning content, architect interventions, oversee quality standards, and advance the platform. The tempo resembles high‑performance environments in technology, consulting, or finance rather than traditional educational settings, and the return is direct accountability for student outcomes in your subject area across multiple campuses.
This position centers on operational leadership. You will construct AI‑driven enhancements to the learning ecosystem, respond to student performance indicators with focused interventions, produce evidence‑backed decision documentation, and lead a team measured against explicit benchmarks tied to MAP, AP, SAT, and ISEE performance. You will also collaborate closely with product, engineering, and data science to articulate platform priorities. This role suits individuals who default to AI, independently conduct analysis, execute through uncertainty, and assume full ownership of outcomes. It will not suit those who favor consensus‑driven timelines, minimal accountability, or reliance on established methodologies.
You will serve as a key leader within the academics function, wielding genuine influence over both subject‑level performance and system‑wide learning improvements. The team will depend on your standards, judgment, and capacity to translate student data into action. If that prospect feels energizing rather than daunting, you are likely well‑matched to this role.
What You Will Be Doing
Learning Ecosystem Enhancements – AI‑generated refinements to subject‑specific K–12 learning experiences spanning content, adaptive pathways, and student interventions, informed by student feedback, analytics, assessments, and coaching insights.
Data‑Driven Academic Interventions – Focused intervention strategies for underperforming students or cohorts, guided by MAP, AP, SAT, ISEE, and related performance metrics.
Student Performance Decision Records – Repeatable, evidence‑supported decisions that document actions taken to improve student performance, backed by dashboards, analytics, tickets, surveys, coaching calls, and assessment data.
Learning Ecosystem Improvement Specs – Implementation‑ready specifications for product, engineering, and data science enhancements, incorporating problem statements, supporting evidence, anticipated student impact, and acceptance criteria.
What You Won’t Be Doing
Repackaging traditional education in an AI wrapper. This is not about replicating classroom instruction through screens – we are fundamentally reimagining learning from first principles.
Analyzing data in isolation. You will be expected to engage regularly with K‑12 students, treating their feedback as critical input from our paying customers.
Waiting for consensus to push boundaries. You will advocate for a bold vision and mobilize others around data‑driven results.
Sticking to conventional methods. You will have the freedom to experiment with innovative approaches to motivation, assessment, and instruction.
Fearing AI's impact on education. In this environment, you will leverage AI as a powerful tool to transform learning, not as a threat to be contained.
Senior Instructional Designer Key Responsibilities
Lead innovation in AI‑powered, teacher‑less education to produce exceptional student outcomes across multiple campuses. Integrate data analytics with consistent student engagement to continuously refine our learning ecosystem, measured by AP exam performance and MAP assessment growth.
Basic Requirements
Master's degree or higher in Educational Science, Learning Science, Psychology, Psychometrics, Instructional Design, or a related field
At least 5 years of experience in academic or EdTech leadership roles, with direct people management responsibility (hiring, performance evaluation, coaching, termination decisions)
Demonstrated experience using AI tools as part of day‑to‑day professional workflows, and willingness to rely on AI extensively to improve academic and operational outcomes.
Strong understanding of learning science principles, such as Cognitive Load Theory and Mayer's Multimedia Principles, and data‑driven educational approaches
Working with us
This is a full‑time (40 hours per week) long‑term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $100 USD/hour, which equates to $200,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-4549-IE-COUNTRY-SeniorInstruct.006
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