Trilogy is hiring a Learning Designer for its breakthrough platform, 2 Hour Learning, aimed at transforming science education through AI and data-driven innovation. This is a remote, full-time position with a competitive compensation of $50/hour (approx. $100,000/year).

The role focuses on reimagining how students learn science—from biology to quantum physics—using adaptive technologies, AI-powered experiments, and deep data insights to accelerate learning. You will not just theorize but build tools that double the speed of concept mastery across multiple scientific domains.

Key Responsibilities:

• Analyze student learning data using AI to enhance educational strategies.

• Design AI-powered simulations and virtual experiments to simplify abstract concepts.

• Develop adaptive learning pathways that evolve in real-time for diverse learning levels.

• Collaborate with a cross-functional team of educators, scientists, and AI experts.

• Transform complex scientific literature into student-friendly, AI-enhanced content.

• Drive measurable improvements, targeting a 2x acceleration in concept understanding.

What You Won’t Be Doing:

• Managing traditional curricula or administrative work.

• Working in isolation—this is a collaborative, innovation-centric team.

• Remaining theoretical—your work will directly impact student learning outcomes.

Qualifications:

• Bachelor’s degree or higher in Biology, Chemistry, Physics, or related field.

• Minimum 3 years of experience in teaching science or curriculum development.

• Familiarity with programming (basic coding skills in any language).

• Proven experience using or developing AI for educational content or data analysis.

• Strong data analysis capabilities and actionable insight generation.

• Excellent communication skills, capable of simplifying complex scientific ideas.

About the Company – 2 Hour Learning:
2 Hour Learning is rewriting the rulebook of education with its AI-driven, personalized learning model. The platform delivers top 1-2% academic results with just two hours of learning per day. Backed by real performance metrics, the initiative is proving that the future of education is adaptive, data-driven, and highly efficient.

Working Details:

• Full-time, 40 hours/week (long-term role)

• Remote work environment

• Paid weekly via Crossover (Contractor of Record basis)

• Compensation: $50/hour = $100,000/year (assuming 50 work weeks)