Crossover
Website:
crossover.com
Job details:
This role is for academic leaders who prefer building systems over critiquing them. You must possess deep subject fluency to recognize high-quality learning, the rigor to convert that vision into rubrics and AI-driven quality mechanisms, and the pragmatism to act decisively with incomplete data. Student improvement matters to you, and you welcome accountability for those results.
2 Hour Learning pursues what most software and education companies avoid. There are no teachers, textbooks, or traditional instructional scaffolding beneath the product. AI serves as the operational foundation. In this position, you will use it to generate and refine learning content, design interventions, oversee quality, and advance the platform. The tempo resembles high-performance tech, consulting, or finance more than traditional education, and the reward is direct ownership of a subject's student outcomes across multiple campuses.
This position centers on operating a function. You will develop AI-driven learning ecosystem improvements, respond to student performance signals with targeted interventions, produce evidence-based decision records, and lead a team against clear standards tied to MAP, AP, SAT, and ISEE outcomes. You will also collaborate closely with product, engineering, and data science to determine the platform's next requirements. It suits someone who defaults to AI, self-serves analysis, ships amid uncertainty, and takes full ownership of results. It will frustrate anyone who favors consensus-driven timelines, minimal accountability, or the security of established systems.
You will serve as a core leader within the academics team, wielding genuine influence over your subject's performance and the broader learning system's evolution. The team will depend on your standards, judgment, and capacity to translate student data into action. If that prospect energizes rather than intimidates you, you are likely the candidate this role is designed for.
What You Will Be Doing
- Learning Ecosystem Enhancements — AI-generated improvements to K–12 subject-specific learning experiences encompassing content, adaptive pathways, and student interventions, informed by student feedback, analytics, assessments, and coaching insights.
- Data-Driven Academic Interventions — Targeted intervention strategies for off-track students or cohorts, driven by MAP, AP, SAT, ISEE, and related performance data.
- Student Performance Decision Records — Repeatable, evidence-based documentation of student performance improvement actions, supported by dashboards, analytics, tickets, surveys, coaching calls, and assessment data.
- Learning Ecosystem Improvement Specs — Implementation-ready specifications for product, engineering, and data science enhancements, including problem statements, supporting evidence, expected student impact, and acceptance criteria.
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.
Instructional Designer Key Responsibilities
Drive innovation in AI-powered, teacher-less education to deliver exceptional student outcomes across multiple campuses. Blend data analytics with regular student engagement to continuously optimize our learning ecosystem, as 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
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-IN-Lucknow-InstructionalD.002
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