1-on-1 Math Tutor (U.S. Online)

Role Summary

• Location: Remote (U.S. based candidates only)
• Job Type: Remote, Part-Time (flexible scheduling, W2)
• Compensation: $25/hour

Join Think Academy as a part-time 1-on-1 Math Tutor. Provide personalized, one-on-one support to help students strengthen their understanding of concepts from their long-term Think Academy classes on a schedule that works for you.

About Think Academy

Think Academy US, a wholly owned subsidiary of TAL Education Group (NYSE: TAL), is a leading education company dedicated to helping K–12 students build strong academic foundations, confidence in math, and long-term learning ability through high-quality teaching and thoughtfully designed curriculum.

Responsibilities

• Provide 1-on-1 support to students, reinforcing concepts from their long-term Think Academy math class
• Help students work through specific questions, homework, or areas of difficulty
• Submit your weekly availability; teach sessions as students book them within your open slots
• Communicate professionally with students (and parents, as needed) about progress and areas for improvement

Schedule & Compensation

• Part-time — you submit your available time slots each week, and students book sessions within those slots
• Sessions are scheduled based on student demand within your submitted availability
• Compensation: $25/hour

Who We're Looking For

• Bachelor's degree or higher from an accredited college or university
• Strong math foundation; Math, STEM-related, or Education majors preferred
• Passion for teaching and supporting student growth; strong communication skills
• Tutoring, mentoring, coaching, or classroom teaching experience is a plus
• Math competition background (e.g., AMC, Math Kangaroo) is a plus

Think Academy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status, and will not be discriminated against on the basis of disability.