Remote JMP Stats Tutor — Flexible 1:1 & Small Groups

Tutor Me LA LLC

Town of Texas (WI)

Remote

USD 41,328 - 68,880

Full time

14 days+
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Benefits offered by this job

Fully remote
Set your own hourly rate
Flexible schedule
Steady opportunities

Job summary

Tutor Me Education offers flexible, fully remote 1:1 and small-group JMP tutoring across the country. We seek experienced tutors with JMP proficiency to teach statistics, DOE, quality engineering, and process improvement, tailoring lessons to individual goals and schedules.

Ideal candidates will have strong JMP skills, a statistics or engineering background, and proven tutoring or teaching experience. You’ll use virtual tools to engage learners and adapt content in real time while building a

Qualifications

  • Bachelor's degree required.
  • Experience working with students.
  • Ability to design and deliver lesson plans aligned to student goals and accommodations.
  • Strong virtual instruction skills – comfort with video conferencing, digital whiteboards, and keeping students engaged online.
  • Ability to pass a background check.

Responsibilities

  • Deliver engaging, individualized virtual instruction in JMP software and applied statistics concepts.
  • Create structured lesson plans tailored to each learner’s goals.
  • Adapt instruction in real time based on learner questions and project needs.
  • Assist learners with coursework, research projects, or professional upskilling.
  • Track learner progress and communicate with students and partners where applicable.

Skills

JMP knowledge
Statistics background
Teaching/tutoring experience
DOE/SPC/industrial statistics
Virtual instruction skills

Education

Bachelor's degree

Tools

JMP
Video conferencing
Digital whiteboards

Job description

Tutor Me Education offers flexible, fully remote 1:1 and small-group JMP tutoring across the country. We seek experienced tutors with JMP proficiency to teach statistics, DOE, quality engineering, and process improvement, tailoring lessons to individual goals and schedules.

Ideal candidates will have strong JMP skills, a statistics or engineering background, and proven tutoring or teaching experience. You’ll use virtual tools to engage learners and adapt content in real time while building a

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