Low Elementary Math Teacher (Mandarin Required)
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Full-time
- Salary
- Not stated
- Categories
- Education & E-learning
- Source
- jobicy
- First observed
- 2026-08-31 20:30 UTC
- Last seen
- 2026-11-02 13:35 UTC
- Source claims posted
- 2026-11-02 03:05 UTC
- Consecutive misses
- 0 of 10
What the posting says
Start: September 2026
Job Type: Full-Time (30–40 hours/week, W2), Remote (U.S. based)
Compensation: $35-40/hour for teaching + $16–20/hour for non-teaching/admin time
Join Think Academy as a full-time G1-G2 Math Teacher. Teach with a structured, high-quality curriculum, receive paid training, and grow into long-term teaching and curriculum roles. We’re especially looking for candidates with the potential to grow into a Grade Leader role, taking on teacher mentorship and grade-level management responsibilities as they develop. This is a long-term teaching opportunity — not a short-term tutoring role.
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.
Why This Role Is Different
Most teaching roles expect you to build everything yourself. Here, you teach within a structured instructional system — curriculum, lesson materials, training, and team support are already in place, so you can focus on teaching quality and student growth instead of building materials from scratch.
Stronger Teaching Support — high-quality curriculum and lesson materials, structured onboarding, ongoing training, and a team to collaborate with instead of teaching in isolation
A Path to Grade Leader — this role is designed as a talent pipeline for our G1-G2 team. Strong performers may be considered for Grade Leader responsibilities within their first several months, taking on teacher coaching, standard-setting, and grade-level coordination
Competitive, Growing Earnings — paid for both teaching and non-teaching work, with performance-based raises up to 3 times a year, and an end-of-semester commission
What You’ll Do
Teach G1-G2 math in a clear, engaging, kids-friendly way, using our curriculum, lesson materials, and instructional guidance.
Lead virtual classes with strong classroom energy, patience, and the ability to hold young students’ attention and engagement. Create a warm, positive, high-expectation learning environment suited to early learners
Grade homework, give timely feedback, and communicate proactively and professionally with parents about progress, classroom behavior, and learning habits.
Deeply understand each lesson’s teaching goals and common student sticking points, rather than simply following slides
Participate in training, lesson prep, and ongoing professional development; take feedback well and continuously refine your teaching and service habits
Schedule & Commitment
Onboarding starts September 2026; teaching begins October 2026
~3-6 classes/week (6-12 teaching hours), plus admin hours (grading, prep, parent comms) — total 30-40 hrs/week
Class windows (Pacific Time): Wed-Fri, 4pm-8pm and Sat-Sun, 9am-8pm
Once classes are assigned, your schedule stays consistent week to week (except federal holidays)
Commit to at least one year (till May 2027)
Relocation potential: for candidates on the Grade Leader track, we’d like you to be able to relocate to our Bay Area office between November and January, contingent on strong performance in your first few months
Compensation & Benefits
Teaching Hours: $35-40/hour
Non-Teaching/Admin Hours: $16-20/hour (grading, class prep, parent communication)
Performance-based pay increases up to 3 times per year, plus end-of-semester commission targeted at 15-30% of total teaching compensation
Benefits: 401(k), health/dental/vision insurance (based on eligibility)
Visa sponsorship may be considered for long-term, high-performing teachers
Who We’re Looking For
Bachelor’s degree or higher from an accredited college or university
Strong math foundation, comfortable with U.S. Elementary School math content or above; Education, Child Development, Math Education, Psychology, or related majors preferred
Fluent, confident English instruction skills, plus the ability to communicate clearly and professionally with parents and internal team members in Chinese or bilingually
Meaningful prior experience with young learners (tutoring, camp teaching, after-school programs, classroom teaching, mentoring). Bonus points for prior online teaching experience
Strong service mindset: proactive, comfortable initiating communication with parents, students, and the team, not just delivering lessons
Open to feedback, self-reflective, and able to quickly adjust your teaching and service approach
Genuinely interested in a long-term teaching career and growth at Think Academy
Available during the class windows above; available on at least one weekend day
Candidates based in or open to relocating to the Bay Area preferred
Bonus points for candidates with experience as a team lead, mentor, or TA lead; math competition background; curriculum design or teacher training experience
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.
Quality
- x Salary range stated weight 35%
- x Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 27 observation(s).
- ! Days open - concerningOpen for 62 days so far
- ! Reopen count - concerningReopened 2 times
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- ! Missing/reappear cycles - concerningWent missing and reappeared 2 times
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