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Online Python Instructor Jobs in California (NOW HIRING)

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Online Python Instructor information

What are the key skills and qualifications needed to thrive as an Online Python Instructor, and why are they important?

To thrive as an Online Python Instructor, you need a strong command of Python programming, relevant teaching or training experience, and often a degree in computer science or a related field. Familiarity with online learning platforms, interactive coding environments like Jupyter Notebook, and certifications such as PCEP or PCAP are valuable. Exceptional communication, patience, and the ability to adapt explanations to different learning styles are standout soft skills. These competencies ensure effective knowledge transfer, student engagement, and successful learning outcomes in an online environment.

What are some common challenges faced by Online Python Instructors, and how can they be addressed?

Online Python Instructors often face challenges like engaging students remotely, accommodating diverse learning paces, and troubleshooting technical issues over virtual platforms. To address these, instructors can leverage interactive tools, provide clear communication channels, and offer supplemental resources such as recorded lectures and coding exercises. Regular feedback, virtual office hours, and fostering a collaborative online community can also enhance student experience and learning outcomes.

What does an Online Python Instructor do?

An Online Python Instructor teaches students how to program using the Python language through virtual platforms. They design lesson plans, create instructional materials, and deliver lectures or tutorials via video calls, recorded sessions, or interactive platforms. Instructors also provide assignments, assess student progress, and offer support to help learners understand Python concepts. Their goal is to help students, whether beginners or advanced, build strong programming skills that can be applied in real-world situations.

What is the difference between Online Python Instructor vs Online Data Science Tutor?

AspectOnline Python InstructorOnline Data Science Tutor
Required CredentialsProficiency in Python, teaching experience, possibly a degree in computer scienceProficiency in data science, Python, statistics, and data analysis tools
Work EnvironmentOnline platforms, virtual classrooms, one-on-one or group sessionsOnline platforms, virtual classrooms, often focused on data analysis projects
Employer & Industry UsageEducational institutions, online course providers, coding bootcampsEducational institutions, online tutoring platforms, data analytics companies
Common Search & ComparisonOnline Python Instructor vs Online Data Science Tutor

The main difference between an Online Python Instructor and an Online Data Science Tutor lies in their focus areas. The Python Instructor specializes in teaching Python programming, while the Data Science Tutor emphasizes applying Python to data analysis and statistical tasks. Both roles require strong technical skills and experience in online teaching environments, but their content and industry applications differ slightly.

What are the most commonly searched types of Python Instructor jobs in California? The most popular types of Python Instructor jobs in California are:
What job categories do people searching Online Python Instructor jobs in California look for? The top searched job categories for Online Python Instructor jobs in California are:
What cities in California are hiring for Online Python Instructor jobs? Cities in California with the most Online Python Instructor job openings:
Infographic showing various Online Python Instructor job openings in California as of May 2026, with employment types broken down into 8% Full Time, 84% Part Time, and 8% Temporary. Highlights an 100% In-person job distribution.

Hybrid Visiting of Artificial Intelligence

devry

San Jose, CA

Other

Posted 7 days ago


Job description

Opportunity:

DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.

  • Courses meet once or twice a week for eight weeks.
  • Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.
  • Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.
  • Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.
  • All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. 
  • DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion.
  • As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:

  • Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
  • Organizes, prepares, and regularly revises and updates all course materials.
  • Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
  • Models effective oral and written communications that engage the students, provide clarity, and improve student learning. 
  • Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
  • Ensures that the content and level of material included on exams correspond to the course terminal objectives.
  • Demonstrates consistency and fairness in the preparation and grading of exams and provides timely feedback to students.
  • Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
  • Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
  • Completes other duties as assigned.

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • A doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline.
  • Applicants must upload unofficial graduate-level transcripts with their application.
  • Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation.
  • Three to five years of applied professional experience in artificial intelligence, machine learning, data science, intelligent systems, or related computational technologies.
  • Demonstrated experience with AI-enabled software development, which may include machine learning pipelines, generative AI tools, data modeling, or full-stack application development integrating AI services.
  • Industry-recognized certifications or professional credentials relevant to artificial intelligence, machine learning, data science, or software development.
  • Strong subject matter expertise in AI concepts and technologies, combined with effective communication skills and the ability to explain complex technical topics to diverse learners.
  • Knowledge of ethical, responsible, and secure AI practices, including awareness of data governance, bias mitigation, and responsible AI deployment.
  • Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.
  • Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.

Preferred Qualifications:

  • Industry certifications in Python programming, artificial intelligence, machine learning, or data science (e.g., PCEP or equivalent).
  • AI practitioner or engineer certifications (e.g., CAIP, Oracle GenAI, or comparable industry-recognized credentials).
  • Experience with AI development frameworks and tools, such as machine learning libraries, model deployment platforms, or generative AI systems.
  • Experience applying DevSecOps practices in AI or data-driven environments, including model lifecycle management and secure AI deployment.
  • Experience with programmatic or regional accreditation processes, including outcomes assessment and curriculum alignment.
  • Active membership or engagement in professional technology or AI-related organizations, contributing to ongoing industry awareness and innovation.
  • Experience integrating AI-assisted learning tools, immersive technologies, or intelligent tutoring systems into post-secondary instruction.
  • Two to five years of teaching experience at the post-secondary level, preferably in artificial intelligence, data science, programming, or emerging technology disciplines.

Pay:

Visiting Professor pay is based on level, credit hours taught per 8-week session, and location. 

  • Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.