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About the Role

America On Tech (AOT) is seeking a Data Science Instructor to lead a 7-month fellowship program for college-aged alumni. The instructor will deliver high-quality Data Science lessons, foster an inclusive classroom, and manage student assignments and feedback.

Responsibilities

• Review AOT’s curriculum weekly to ensure command of material.
• Prepare auxiliary activities or examples to bring content to life for students.
• Lead all content sessions, paying particular attention to student engagement.
• Work with the Senior Program Manager to develop remediation plans to support student content mastery.
• Create an inclusive classroom atmosphere where all students feel valued and supported.
• Ensure complete student submission of all program assignments and projects.
• Check assignment scores and provide a summary of progress to students, sharing concepts they are most frequently missing.
• Provide regular written and verbal feedback on assignments, returned no later than two weeks after submission.
• Provide summary data on key metrics for program reports.
• Uphold AOT’s core values (Community, Respect, Impact, Growth Mindset) in all aspects of the role.
• Foster and maintain a positive and welcoming classroom environment.
• Attend meetings with the Senior Program Manager to discuss program impact and troubleshoot challenges.
• Complete mid and post-program surveys to assess program and report on instructor experience.
• Complete any additional duties as assigned.

Requirements

• Be available for sessions Monday from 4pm-6pm EST from September 28, 2026 - April 26, 2027.
• Be available for 1 hour per week to hold office hours.
• Be available for 1 hour per week to review and give feedback on assignments.
• Attend a 1-hour orientation with AOT on Wednesday, September 23, 2026 from 4-5pm EST.
• Have the knowledge and ability to deliver high-quality Data Science lessons using a built-out curriculum provided by AOT.
• Review the curriculum and provide feedback prior to the start of the Fellowship (estimated 2 hours).
• Have a Bachelor’s degree in a related discipline or at least 2-3 years of equivalent experience.
• Have experience in technology instruction, particularly with a college-age audience.
• Have the ability to explain concepts in multiple ways and to students with varying levels of experience.
• Incorporate an anti-racist lens into their work and be passionate about working at an organization that values and promotes investing in students from all backgrounds.
• Support and enhance a sense of belonging for all students.
• Exhibit proficiency in Google Suite, especially Google Docs, Google Calendar, Google Slides, Google Sheets and Google Classroom.
• Have a reliable laptop/desktop with a webcam, working audio, and internet speeds that exceed the minimum requirements for hosting a Zoom meeting.
• Undergo a background check.

Skills

• Data Science
• Python
• R
• SQL
• Machine learning frameworks
• Data visualization tools
• Big data technologies
• Jupyter Notebooks
• Google Suite (Docs, Calendar, Slides, Sheets, Classroom)

Location

• Virtual

Work Type

• Contract
• Full-time

Experience Level

• 2-3 years equivalent experience

Education Level

• Bachelor’s degree in a related discipline

Salary/Compensations

• $6,000 for one cohort of 50 students

About the Company

• America On Tech (AOT) is a national nonprofit preparing the next generation of technology leaders from underestimated communities.
• Since 2014, AOT has provided no-cost tech education and workforce training to students in NYC, LA, Miami, and Atlanta.
• AOT equips young people with in-demand skills in AI, Web Development, Data Science, and more, creating pathways to higher education and careers.
• To date, AOT has served 5,300+ students, facilitated 1,000+ paid internships generating $4.1M in wages, and distributed $2.4M in stipends.
• AOT alumni are twice as likely to attend college and five times more likely to pursue tech degrees.

Equal Opportunity

• AOT is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, disability, age, religion, sexual orientation, or national or ethnic origin.