CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders.
We deliver industry-vetted courses and career support centered on the needs of first-generation and low-income students. Our students train with senior engineers, intern at top companies, and rise together to become the tech leaders of tomorrow.
With 30,000 students and alumni from 700 colleges now working at 2,000 companies, we are reshaping the tech workforce and the industries of the future.
About the Role
Location: Remote, United States
Role-Type: Seasonal Part-Time, W2 Employee (up to 10 hours per week)
Duration: November 2025 - June 2026 (40 hours total of training in November/December, Part-Time commitment starts in January 2026)
Reports To: Senior Manager, Program Implementation
Compensation: $50 per hour
Interview timeline: Offers extended on a rolling basis, with a target final date of October 31, 2025
CodePath Tech Exchange (CTEx) Instructors play a vital role in shaping the careers of computer science majors at our partner universities. They teach industry-informed, intermediate-level courses that prepare students for software engineering internships and technical interviews. Students will build the core professional skills needed to succeed in the tech industry. To learn more, check out information on the program here.
About the Course
Algorithms and System Design with GenAI focuses on developing the skills necessary to write programs that solve problems at the scale of small software projects. Learners are expected to formulate solutions from problem descriptions by understanding the requirements, decomposing the problem into manageable pieces, and testing their solutions thoroughly.
What We Are Looking For
4 Part-Time Assistant Instructors to own two to three of the eight lab sections listed below:
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Section 1 (Th, 11:00am-11:50am ET)
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Section 2 (Th, 1:00pm-1:50pm ET)
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Section 3 (Th, 3:00pm-3:50pm ET)
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Section 4 (Th, 5:00pm-5:50pm ET)
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Section 5 (Fri, 11:00am-11:50am ET)
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Section 6 (Fri, 1:00pm-1:50pm ET)
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Section 7 (Fri, 3:00pm- 3:50pm ET)
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Section 8 (Fri, 5:00pm-5:50pm ET)
We are looking for candidates with 3+ years of Software Engineering experience who are passionate about teaching, eager to immerse themselves in a virtual academic setting, and excited about the opportunity to make a meaningful impact on students’ lives.
To thrive in this role, you should be a dynamic and inspiring technical expert with a commitment to inclusive education, strong classroom leadership skills, and a deep passion for empowering students.
Key Responsibilities
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Training & Development: Complete 40 hours of sync training sessions + async training tasks through the second half of November to build proficiency with CodePath’s teaching tools and instructional strategies before the semester begins (Exact training schedules to be published soon)
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Course Instruction: Lead lab sections for an Algorithms & System Design course (up to 25 students per section), supporting students in achieving learning objectives
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Lab Preparation: Thoroughly review the provided curriculum and materials to deliver engaging, industry-relevant content aligned with learner needs
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Office Hours & Labs: Hold regular virtual office hours and actively encourage student participation during lab sections
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Grading: Ensure all assignments and deliverables are graded in a timely manner to provide constant student feedback
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Feedback: Share timely feedback with the CTEx program team about the student experience and program effectiveness overall
Minimum Qualifications
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3+ years of professional experience in Software Engineering using Python
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Part-time availability from January 2026 through June 2026 and commitment to the listed course schedule and time requirements above
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Available to complete 40 hours of sync and async training sessions/tasks throughout mid-November through mid-December to be fully prepared for program launch
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Bachelor’s degree in Computer Science or a related field
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Strong interpersonal and influencing skills; comfortable navigating ambiguity
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Demonstrated passion for teaching and prior experience experience leading classrooms
Preferred Qualifications
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Experience mentoring or managing junior developers
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Prior experience teaching a technical course
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Prior experience utilizing GenAI in academic or professional settings
Seasonal/Part-Time Employee Benefits
Contact: Please reach out to recruiting@codepath.org with any questions.
