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Part Time Python Instructor Jobs in Brooklyn, NY

This is a part-time, remote position. It is expected that position duties will be performed ... TAs function both as instructors and as advisors, overseeing student projects that culminate in end ...

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Part Time Python Instructor information

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$90

How much do part time python instructor jobs pay per hour?

As of May 31, 2026, the average hourly pay for part time python instructor in Brooklyn, NY is $61.64, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.00 per hour, depending on experience, location, and employer.

What is a Part Time Python Instructor job?

A Part Time Python Instructor teaches Python programming to students in a structured setting, such as a coding bootcamp, university, or online course. They develop lesson plans, guide students through coding exercises, and provide feedback on assignments. This role is typically flexible, allowing instructors to teach a few hours per week while balancing other commitments. Strong programming knowledge and teaching skills are essential for success in this position.

What are the key skills and qualifications needed to thrive in the Part Time Python Instructor position, and why are they important?

To thrive as a Part Time Python Instructor, you need strong proficiency in Python programming, experience in teaching or curriculum development, and typically a relevant degree or industry certification. Familiarity with learning management systems (LMS), online teaching platforms, and tools like Jupyter Notebook is often required. Excellent communication, patience, and the ability to engage and motivate diverse learners are standout soft skills for this role. These skills ensure effective instruction, positive student outcomes, and a productive learning environment.

What are the typical responsibilities of a Part Time Python Instructor on a weekly basis?

As a Part Time Python Instructor, you can expect to design and deliver Python programming lessons, support students through Q&A sessions, and grade assignments or projects. Each week, you may spend time preparing curriculum materials, updating course content, and providing feedback to help students improve their coding skills. Many instructors also participate in team meetings with other educators to discuss teaching strategies and address student challenges. This balance of teaching, student support, and collaboration helps create an engaging and effective learning environment.
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Adjunct Lecturer, Cloud Computing (On-Campus, Fall '26)

Adjunct Lecturer, Cloud Computing (On-Campus, Fall '26)

Columbia University

New York, NY

Full-time, Part-time

Posted 18 days ago


Job description

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.

This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications.

Responsibilities

  • Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.

  • Monitor and address student concerns and inquiries.

  • Evaluate and grade student work and assessments.

  • Conduct office hours.

Qualifications

Columbia University SPS operates under a scholar-practitioner faculty model, which
enables students to learn from faculty possessing outstanding academic training as well
as a record of accomplishment as practitioners in an applied industry setting.
Requirements

  • Ph.D. in Computer Science, Software Engineering, or related field
  • Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming

  • Experience with the Linux operating system, cloud virtualization and storage systems

  • 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud)

  • Knowledge of Python programming language

Preferred Skills & Experience

  • University teaching experience

  • Experience with setting up and configuring Google Cloud Platform services

  • Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes


Additional Information

Please submit a resume inclusive of university teaching experience.

Columbia University is an Equal Opportunity/Affirmative Action employer.

All your information will be kept confidential according to EEO guidelines.
Salary Range: $11,000-$13,000 per semester length course