Senior Instructional Designer $200,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
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 will NOT 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.
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.
Candidate 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
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Chat-style
screening interview.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
Frequently asked questions
About the role
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
Join the world's largest community of 
AI-first remote workers.