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This role is for the academic leader who prefers to design the system rather than critique it from the sidelines. You possess sufficient subject expertise to recognize high-caliber learning, sufficient rigor to translate that understanding into rubrics and AI-driven quality mechanisms, and sufficient pragmatism to make decisions quickly with imperfect data. Student improvement matters to you, and you accept being measured by that standard. 2 Hour Learning pursues an objective that much of the software and education sectors seldom undertake. There are no instructors, no printed textbooks, and no traditional teaching layer supporting the product. AI serves as the operational framework. In this position, you apply it to produce and refine learning materials, architect interventions, oversee quality standards, and advance the platform's capabilities. The operational tempo resembles high-performance technology, consulting, or finance more than traditional schooling, and the reward is direct accountability for student outcomes in your subject across multiple campuses. This position centers on operating a function. You will develop AI-driven enhancements to the learning ecosystem, execute interventions based on student performance indicators, produce evidence-supported decision documentation, and lead a team measured against concrete benchmarks tied to MAP, AP, SAT, and ISEE scores. You will also collaborate closely with product, engineering, and data science to establish platform requirements. It suits someone who relies on AI by default, conducts independent analysis, delivers under uncertainty, and assumes complete ownership of outcomes. It will not satisfy those who favor consensus-driven timelines, minimal accountability, or the security of established methodologies. You will serve as a central leader within the academics team, wielding meaningful authority over your subject's performance and the evolution of the wider learning infrastructure. Your colleagues will depend on your standards, your discernment, and your capacity to translate student data into actionable steps. If that prospect feels energizing instead of daunting, you are probably the candidate this role is designed for. What You Will Be Doing Learning Ecosystem Enhancements — AI-produced refinements to subject-specific K–12 learning experiences spanning content, adaptive pathways, and student interventions, shaped by student feedback, analytics, assessments, and coaching observations. Data-Driven Academic Interventions — Focused intervention strategies for underperforming students or cohorts, informed by MAP, AP, SAT, ISEE, and comparable performance metrics. Student Performance Decision Records — Replicable, evidence-grounded decisions that document actions taken to improve student performance, backed by dashboards, analytics, tickets, surveys, coaching interactions, and assessment results. Learning Ecosystem Improvement Specs — Deployment-ready specifications for product, engineering, and data science enhancements, incorporating problem definitions, corroborating evidence, anticipated student impact, and acceptance standards. What You Won’t Be Doing Repackaging traditional education in an AI wrapper. This isn't about replicating classroom instruction via screens – we're fundamentally reimagining learning from the ground up. Analyzing data in isolation. You'll be expected to regularly engage with K-12 students, valuing their feedback as essential input from our paying customers. Waiting for consensus to push boundaries. You'll champion a bold vision and rally others around data-driven results. Sticking to conventional methods. You'll be free to experiment with innovative approaches to motivation, assessment, and instruction. Fearing AI's impact on education. Here, you'll harness AI as an exciting tool to revolutionize learning, not as a threat to be mitigated. Senior Instructional Designer Key Responsibilities Lead innovation in AI-powered, teacher-less education to produce outstanding student outcomes across multiple campuses. Integrate data analytics with consistent student engagement to iteratively refine our learning ecosystem, evaluated by AP exam results 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 About 2 Hour Learning Education is broken, but 2 Hour Learning is proving it doesn’t have to be. They’re tearing down the outdated one-size-fits-all model and replacing it with AI-driven personalized learning that helps kids master academics in just two hours a day. With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they’re proving that smarter learning is possible. At 2 Hour Learning, it’s talent and performance that matter. They offer a dynamic, on-campus and remote-friendly environment where innovators, educators, and AI specialists can be a part of fixing a broken school system. 2 Hour Learning is reprogramming learning for the AI era. Here’s How They’re Fixing It. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! 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-PH-NCRNatio-SeniorInstruct.010