Data Visualization Student Support

Summary

Join edX, a leading online learning platform, as a Teaching Assistant, Tutor, Learning Assistant, or Grader and contribute to the transformative journey of students pursuing data analytics careers. These remote, part-time positions offer flexible schedules and the opportunity to hone your skills while mentoring others. You'll gain access to a global network of tech professionals and receive training, lesson plans, and tools to support your role. The ideal candidate will have at least 6 months of experience related to the program they wish to interview for, familiarity with program technologies, excellent time management skills, and a stable internet connection.

Requirements

• At least 6 months of experience related to the program you wish to interview for (some roles will require more than 6 months experience)
• Some familiarity with most or all of the program technologies listed above for your program of choice
• Must have excellent Time-Management
• Stable internet connection required
• Flexibility in schedule

Responsibilities

• Our Teaching Assistants are present during class hours and help the Instructors facilitate the lessons and are a valuable resource for students during project group work sessions
• Our Tutors support students enrolled in University Bootcamps across the globe by meeting 1:1 with student/s in Zoom (schedule based on need/availability) to provide support
• Our Learning Assistants support students enrolled in University Bootcamps across the globe via Slack and on a structured schedule (multi shift options to choose from)
• Our Graders support students in University Bootcamps across the globe by providing students with assignment grades and feedback that is detailed, clear, and supports the journey of learning (flexible schedule)

Benefits

• Hone your own skills by teaching and mentoring others
• Gain access to thousands of tech professionals around the globe that make up our instructional staff network
• Hourly salary only: In Colorado, the anticipated hourly salary for this role is ($20/hr). Note: The final compensation for this position may consider factors including the geographic location where the work is performed (candidate’s assigned office) and prior work experience of the candidate