- Experience
- 5+ yrs
- Salary
- USD 200,000 – USD 200,000 / year
- Openings
- 1
- Posted
- 5 days ago
- Work mode
- Work from home
- Education
- Master's degree
- Eligibility
- Applicants with a master’s degree or higher in a relevant discipline and at least 5 years of academic or EdTech leadership experience, including direct people management, are suitable for this role. The role is intended for people comfortable using AI extensively and working in a high-accountabilit…
- Resume
- Required to apply
Job description
Role Overview
This position is for an academic leader who wants to build systems, not merely comment on them. You should know your subject deeply enough to define strong learning outcomes, convert that understanding into clear rubrics and AI-supported quality controls, and make practical decisions even when the data is incomplete. A genuine commitment to student progress is essential, along with a willingness to be accountable for measurable results.
About the Platform
2 Hour Learning operates with a model that deliberately moves away from traditional education. There are no instructors, no conventional textbooks, and no fallback on standard classroom methods. Instead, AI functions as the central operating system. In this role, you will use it to create and improve learning content, design interventions, maintain quality standards, and help expand the platform’s capabilities.
The pace of work is closer to high-performance technology, consulting, or finance than to a typical school environment. In return, you will own the outcomes for your subject across multiple campuses.
What the Role Focuses On
This is a leadership role centered on operations. You will develop AI-based improvements to the learning experience, implement targeted actions for students based on performance data, prepare evidence-based decision notes, and manage a team against clear standards tied to MAP, AP, SAT, and ISEE results. You will also work directly with product, engineering, and data science teams to influence the platform roadmap.
The role is a strong fit for someone who naturally uses AI, can work independently with data, produces results under uncertainty, and accepts complete ownership of outcomes. It will be challenging for anyone who prefers consensus-heavy processes, limited accountability, or familiar legacy approaches.
Key Responsibilities
You will act as a senior academic leader, with meaningful responsibility for subject-level performance and for improving the broader learning infrastructure. Your judgment, standards, and ability to turn student data into action will be central to the team’s success.
What You Will Be Doing
- Improving the learning system through AI-led changes to subject-specific K–12 environments, including content, adaptive pathways, and student interventions informed by student feedback, performance data, assessments, and coaching insights.
- Designing focused interventions for students or groups that are not meeting expectations, using MAP, AP, SAT, ISEE, and similar performance signals.
- Creating scalable, evidence-based decision records that explain actions taken to improve student outcomes, drawing on dashboards, analytics, tickets, surveys, coaching notes, and assessment data.
- Writing actionable improvement specifications for product, engineering, and data science teams, including the problem, supporting evidence, expected student impact, and acceptance criteria.
What You Won’t Be Doing
- Simply digitizing traditional teaching and presenting it as innovation. The goal is to rethink learning from the ground up.
- Working in isolation from students. Regular contact with K–12 learners is expected, and their feedback is a key source of insight.
- Waiting for broad agreement before moving forward. You will be expected to push for ambitious, data-backed outcomes.
- Relying on conventional education methods. You will have room to test new approaches to motivation, assessment, and instruction.
- Treating AI as a threat to education. In this environment, AI is expected to be a major driver of transformation.
Requirements
- Master’s degree or a higher qualification in Educational Science, Learning Science, Psychology, Psychometrics, Instructional Design, or a closely related field.
- At least 5 years of experience in academic or EdTech leadership, including direct people management responsibilities such as hiring, performance reviews, coaching, and termination decisions.
- Practical use of AI tools in everyday professional work, with a willingness to depend on AI heavily to improve academic and operational outcomes.
- Strong command of learning science concepts such as Cognitive Load Theory and Mayer’s Multimedia Principles, along with data-informed approaches to education.
About the Employer
2 Hour Learning believes education needs a complete reset. The company is replacing the conventional one-size-fits-all model with AI-powered personalized learning that helps children learn core academics in only two hours per day.
Its students regularly rank in the top 1–2% nationally, and the top 20% show 6.5x growth. The organization emphasizes talent and performance, and offers a dynamic environment that is both on-campus and remote-friendly for people working to improve education through innovation and AI.
Working Arrangement and Compensation
This is a full-time role of 40 hours per week and is intended to be long term. The position is available immediately and requires signing an independent contractor agreement with Crossover as a Contractor of Record. Compensation is set at USD 100 per hour, which equals USD 200,000 per year based on 40 hours per week and 50 weeks per year. Pay is issued weekly.
Additional Information
Crossover Job Code: LJ-4549-IE-COUNTRY-SeniorInstruct.010
For more details on the contractor arrangement, a help and FAQ resource is available through the company’s support documentation.