Remote Coding & Computer Science Tutor | Flexible Schedule

Tutor Me Education LLC; United States; Remote; USD 28,000 - 83,000; Full time

Benefits offered by this job

Flexible schedule

100% remote

Set your own hourly rate

Steady flow of students

Job summary

Tutor Me Education LLC is hiring experienced Coding & Computer Science Instructors to provide 1:1 and small group virtual instruction to students nationwide. You will deliver tailored, engaging lessons from your home computer, schedule your availability, and negotiate your hourly rate based on scope of work.

Preferred candidates design lesson plans aligned to goals, adapt in real time with live coding and pair programming, and communicate progress to families.

Qualifications

• Bachelor's degree is required.
• Experience teaching or tutoring students, including those with education needs.
• Ability to design and deliver structured lesson plans aligned to student goals and accommodations.
• Strong virtual instruction skills and comfort with video conferencing and digital whiteboards.

Responsibilities

• Deliver engaging, individualized virtual instruction tailored to each student’s coding experience and learning profile.
• Create structured lesson plans aligned with student goals for various levels from beginner to advanced.
• Adapt instruction in real time using live code-sharing and pair-programming to troubleshoot and explain concepts.
• Track student progress and communicate with families or school partners regarding mastery and milestones.

Skills

Virtual instruction

Lesson planning

Pair programming

Communication with families

Education

Bachelor's degree

Tools

Video conferencing

Digital whiteboards

Online teaching platforms

Job description

Tutor Me Education LLC is hiring experienced Coding & Computer Science Instructors to provide 1:1 and small group virtual instruction to students nationwide. You will deliver tailored, engaging lessons from your home computer, schedule your availability, and negotiate your hourly rate based on scope of work.

Preferred candidates design lesson plans aligned to goals, adapt in real time with live coding and pair programming, and communicate progress to families.