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Online Python Instructor Jobs in Belleville, NJ (NOW HIRING)

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Online Python Instructor information

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How much do online python instructor jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for online python instructor in Belleville, NJ is $59.62, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.74 per hour, depending on experience, location, and employer.

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 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 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.
Fall 2026 Business Analytics Adjunct Faculty Position(s)

Fall 2026 Business Analytics Adjunct Faculty Position(s)

St. John's University

Queens, NY • On-site

$5.4K - $7.0K/mo

Part-time

Posted 21 days ago


St. John's University rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

192nd of 537 rated colleges and universities


Job description

Job Description
The Institution:
St. John's established in 1870, has two New York City campuses; international locations in Rome, Italy; Limerick, Ireland; and Paris, France; and study abroad locations around the world. The Princeton Review and other top rankings consistently recognize the University's outstanding academics, diverse student body, dynamic internship and volunteer opportunities, focus on student life, and diverse study abroad offerings. St. John's University offers more than 100 undergraduate and graduate programs in its six colleges and schools, with a growing number of programs offered online. The University is accredited by the Middle States Commission on Higher Education and 12 other major academic and professional associations.
Commitment to Inclusion:
As a Catholic and Vincentian university, St. John's is committed to institutionalizing practices of inclusive excellence to ensure that we welcome and celebrate the intrinsic worth of all members of our community. We will become an even stronger university as we enhance equity at every level of our institution. Our graduates will excel in the competencies and values required for leadership and service in a rapidly evolving world.
Division/Department Information:
Department of Business Analytics is one of seven departments in the Tobin College of Business. The department has 13 full-time faculty members as well as utilizes several adjuncts to cover courses in the Tobin core at the undergraduate and graduate level as well as offers degrees in B.S. in Business Analytics, M.S. in Business Analytics, and MBA concentrations of Business Analytics and Information Systems.
Responsibilities and Course Information:
We have teaching needs in business analytics courses at graduate and undergraduate level. Industry experience is highly preferred along with prior higher education experience in teaching business courses. Responsibilities include teaching undergraduate or graduate courses, willingness to teach in person on campus in Queens or Manhattan during the day hours of 9 to 6 pm for undergraduate courses and evenings for graduate courses, generally start at 6:00 or 6:40 pm and run for two hours and fifty minutes. Candidates must be available to teach undergraduate courses on a two-day schedule during days either Monday/Thursday or Tuesday/Friday, generally. Computer usage and application software familiarity is desirable and there is an expectation that the new faculty member will train on the use of Canvas, our university learning management.
We are seeking candidates with expertise in one or more of the areas listed below:
  • Statistics (based on Excel). Courses are offered during weekdays only
  • Business Analytics (Based on Excel). Courses are offered during weekdays only
  • Data Visualization (Based on Tableau, Power BI, and R)
  • Computer Language (Based on Python)
  • Structured Query Language (SQL)
  • Advanced MS Office (Excel and Access).

Qualifications:
Master's degree and prior teaching experienced preferred in area or related field. Strong industry experience is strongly recommended.
Application Process:
Applicants must submit a cover letter and a CV or resume when applying for this job. Applicants will be reviewed on a rolling basis and job hunt will end July 30th or earlier if applicants are found before. If you have any questions, please feel free to contact Jason P. Berkowitz, Associate Dean of Faculty in Tobin College of Business, at berkowij@stjohns.edu.
Adjunct Professor $6,500 to $7,000
Adjunct Associate Professor $6,027 to $6,527
Adjunct Assistant Professor $5,600 to $6,100
Adjunct Instructor $5,409 to $5,659
In compliance with NYC's Pay Transparency Act, the per course salary range for this position is $5,409 - $7,000. St. John's University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.
*Important Note- St. John's is NOT an E-Verify Employer*
Any offer of employment is subject to receipt by St. John's University of satisfactory references, verification of employment and education.
St. John's University is an Equal Opportunity Employer.All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, or any other characteristic protected by law.

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