Tutor ME Education 1

Tutor ME Education 1

Test-Prep Tutor

Texas, United States

Sponsorship not specifiedDetected 24 days ago

About the role

  • Adapt instruction in real time based on student questions, practice test performance, and conceptual gaps, emphasizing both content mastery and time-management strategies.
  • Track student progress through diagnostic metrics and communicate effectively with families regarding score growth, homework completion, and official test readiness.

Responsibilities

  • Deliver engaging, individualized virtual instruction tailored to each student's target score, baseline performance, and specific test-taking strengths and weaknesses.
  • Create structured lesson plans and timeline strategies that align with upcoming exam dates (such as the SAT, ACT, AP exams, ISEE/SSAT, or GRE) and specific student pacing needs.
  • If you're passionate about supporting students - and you want the flexibility to build a schedule around your life - we'd love to hear from you.

Nice to have

  • Many of our assignments operate in Pacific Time, so availability during PT hours is a plus.
  • Our tutors choose the jobs that fit their expertise and schedule, and our growing partnerships with school districts mean a steady pipeline of meaningful work.
  • Reliable computer, internet, webcam, and quiet workspace Preferred (not required):
  • Bilingual (Spanish/English) a plus

Benefits

  • About Tutor Me Education We're a tutoring and test-preparation platform connecting qualified educators with families and school districts nationwide.
  • Tutor Me Education is reshaping how students learn, and we're looking for experienced Test-Prep Tutors to provide 1:1 and small group virtual instruction to students across the country.
  • Flexible schedule - work when you want 100% remote Set your own hourly rate Consistent flow of students matched to your expertise Opportunity to make a real difference for students who need it most

This listing is sourced directly from Tutor ME Education 1's careers page and normalized into a canonical job model.