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Think Academy US is seeking 1-on-1 Math Tutors to support project testing and curriculum development. You will deliver one-on-one online math lessons to Grades 1-4 across North America, aligned with CCSS and taught in English to engage young learners.
This part-time role is remote in the US, 15–20 hours per week, with paid training and opportunities for promotion and salary increases. Bachelor's degree required and Mandarin preferred.
Job type: Part-Time (15-20hrs/week)
Location: Remote in US
Intended Start Date: As soon as possible
Pay Range: $20–25/hr
Think Academy US (www.TheThinkAcademy.com), a 100% owned subsidiary of TAL Education Group(NYSE: TAL), is recently established education technology (Ed-Tech) company to provide K-12 extra-curricular learning services through science and technology. At Think Academy, we provide full cycle service to foster local children’s ability to think critically, to strengthen their logic skills, and to help them fulfill their goals through innovative teaching techniques. We believe Love and Technology can make education better. Each week, more than 6 million students are enrolled in TAL's online and offline education platform.
Think Academy specializes in providing online math education for students in North America. Our curriculum aligns with U.S. Common Core State Standards (CCSS) and supports students in lower elementary grades. Through personalized, one-on-one instruction, we help young learners build strong foundational math skills, develop confidence, and cultivate a positive attitude toward learning early on. We are currently seeking 1-on-1 Math Tutors to support project testing and ongoing curriculum development.
Pay starts from $20–25/hr, with opportunities for promotion and salary increases twice a year.
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.