Every job listed here is analyzed by our AI to identify worldwide hiring — not just “remote in the US.” Our classification is actively being improved, some results may be inaccurate.
Worldwide Remote
Jobs reviewed for worldwide hiring.
Real Hiring Data
Country flags show the countries where each company has team members
Updated Hourly
Fresh jobs synced from thousands of career pages
This role is for academic leaders who prefer to design the system rather than critique it from outside. You bring subject-matter fluency to recognize high-quality learning, the rigor to translate that insight into rubrics and AI-driven quality controls, and the pragmatism to act decisively on incomplete data. Student improvement matters to you, and you accept being measured by that standard. 2 Hour Learning pursues an approach the broader software and education sectors rarely undertake. Teachers, textbooks, and the safety net of traditional instruction are absent from the product. AI forms the operational foundation. In this position, you apply it to generate and refine learning content, architect interventions, oversee quality, and advance the platform. The tempo resembles high-performance technology, consulting, or finance more than conventional schooling, with the reward being direct accountability for student outcomes in your subject across multiple campuses. This position centers on leading a function. You will develop AI-driven enhancements to the learning ecosystem, launch targeted interventions based on student performance data, produce evidence-backed decision documentation, and lead a team held to explicit standards linked to MAP, AP, SAT, and ISEE performance. You will also collaborate closely with product, engineering, and data science teams to shape platform priorities. It suits someone who instinctively turns to AI, independently conducts analysis, delivers amid uncertainty, and takes full ownership of outcomes. It will not suit those who favor consensus-driven timelines, minimal accountability, or the security of established methods. You will serve as a core leader within the academics team, wielding genuine influence over your subject's performance and the evolution of the wider learning system. The team will depend on your standards, judgment, and capacity to translate student data into action. If that prospect excites rather than overwhelms you, this role is likely designed for someone like you. 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, shaped by student feedback, analytics, assessments, and coaching insights. 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-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 enhancements across product, engineering, and data science, detailing problem statements, supporting evidence, anticipated 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. Learning And Development Manager Key Responsibilities Lead innovation in AI-powered, teacher-less education to produce outstanding student outcomes across multiple campuses. Combine data analytics with consistent student engagement to continually 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 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-FR-Paris-LearningandDev.019