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Computer Science Instructor Jobs in San Jose, CA

Workato

Technical Instructor

San Francisco, CA

In this role, you will work closely with cross-functional teams to deliver high-impact instructor ... Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent ...

Workato

Technical Instructor

Palo Alto, CA · On-site

In this role, you will work closely with cross-functional teams to deliver high-impact instructor ... Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent ...

Workato

Technical Instructor

Palo Alto, CA

In this role, you will work closely with cross-functional teams to deliver high-impact instructor ... Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent ...

iCode San Ramon

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Lead Instructor/Teacher, iCode San Ramon

San Ramon, CA · On-site

$25 - $35/hr

About iCode * iCode is an instructor-led and project based coding school. * We cater to students ... Bachelor's in Computer Science, Engineering, or related field preferred. Compensation & Hours ...

iCode San Ramon

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Lead Instructor/Teacher, iCode San Ramon

San Ramon, CA · On-site

$25 - $35/hr

About iCode * iCode is an instructor-led and project based coding school. * We cater to students ... Bachelor's in Computer Science, Engineering, or related field preferred. Compensation & Hours ...

iCode San Ramon

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Senior Instructor/Teacher (Seasonal/Summer/After-School)

San Ramon, CA · On-site

$25 - $30/hr

Senior Instructor, iCode San Ramon, CA About iCode * iCode is an instructor-led and project based ... Bachelor's in Computer Science, Engineering, or related field preferred. Compensation & Hours ...

iCode San Ramon

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Senior Instructor/Teacher (Seasonal/Summer/After-School)

San Ramon, CA · On-site

$25 - $30/hr

Senior Instructor, iCode San Ramon, CA About iCode * iCode is an instructor-led and project based ... Bachelor's in Computer Science, Engineering, or related field preferred. Compensation & Hours ...

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Showing results 41-60

All JobsComputer Science Instructor JobsComputer Science Instructor Jobs in San Jose, CA

Computer Science Instructor information

See San Jose, CA salary details

$42.8K

$76.7K

$142.4K

How much do computer science instructor jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computer science instructor in San Jose, CA is $76,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $81,500.00 per year, depending on experience, location, and employer.

What does a computer science instructor do?

A Computer Science Instructor teaches students the principles and applications of computer science, including programming, algorithms, data structures, and software development. They design lesson plans, deliver lectures, and create assignments that help students understand both theoretical and practical aspects of computing. Instructors also often provide guidance on projects, assess student progress, and stay up to date with the latest industry trends to keep their curriculum relevant.

What are some common challenges computer science instructors face in keeping students engaged and motivated?

Computer Science Instructors often encounter the challenge of maintaining student engagement, especially when teaching complex or abstract concepts like algorithms or programming logic. Balancing theoretical material with hands-on activities is crucial to keep lessons interactive and relevant. Instructors must also adapt to different learning paces and backgrounds, offering support to students who may be struggling while providing enrichment for advanced learners. Collaborating with colleagues to share best practices and using real-world projects can help increase motivation and make learning more relatable.

What are the key skills and qualifications needed to thrive as a computer science instructor?

To thrive as a Computer Science Instructor, you need a solid background in computer science fundamentals, programming languages, and teaching experience, often supported by at least a bachelor’s or master’s degree in computer science or a related field. Familiarity with educational platforms, coding environments (such as Python, Java, or C++), and learning management systems (like Moodle or Canvas) is typically required. Strong communication, patience, and the ability to motivate and engage students are standout soft skills in this role. These skills ensure effective knowledge transfer, support student learning, and foster a positive and productive classroom environment.
What are the most commonly searched types of Computer Science Instructor jobs in San Jose, CA? The most popular types of Computer Science Instructor jobs in San Jose, CA are:
What are popular job titles related to Computer Science Instructor jobs in San Jose, CA? For Computer Science Instructor jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Instructor jobs in San Jose, CA look for? The top searched job categories for Computer Science Instructor jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Computer Science Instructor jobs? Cities near San Jose, CA with the most Computer Science Instructor job openings:
Computer Science Instructor jobs near you
Infographic showing various Computer Science Instructor job openings in San Jose, CA as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Temporary. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $76,731 per year, or $36.9 per hour.

Lecturer, Data Science (Temporary Employee Pool)

University of the Pacific

San Francisco, CA

Part-time

Re-posted 16 days ago

Job description

Position Information
Title Lecturer, Data Science (Temporary Employee Pool) Campus Stockton Department Data Science Posting Number F01077 Full or Part Time Part Time Open Date 05/22/2026 Close Date 12/14/2026 Open Until Filled Yes Days Per Week 3 Weeks Per Year 15
Position Description
Primary Purpose and Essential Functions
The University of the Pacific is seeking a dynamic and data-driven Adjunct Faculty member to lead a specialized, one-unit experiential learning course in Customer Analytics for the Fall 2026 semester.
The School of Engineering and Computer Science at the University of Pacific invites applications for a part-time, non-tenure track Lecturer position in the Data Science Department. We are seeking a lecturer to teach a 1-unit, 15-week asynchronous online course for the Master of Science in Data Science program. The lecturer will be responsible for organizing course content and materials, producing weekly video lectures aligned with the course's learning outcomes, designing and grading weekly assignments, and providing online (office hour) support to students. In addition, the instructor will also create and coordinate project work for the weekly, in-person, 3-hour Data Science Socratic Lab, which provides an interactive support component for students enrolled in asynchronous courses.
We are looking for someone with expertise to teach the following courses:
  • Customer Analytics (fall semester)

University of the Pacific recognizes that diversity, equity, and inclusion is foundational to the success of our valued students and employees. We prioritize policy and decision-making that demonstrates awareness of, and responsiveness to, the ways socio-cultural forces related to race, gender, ability, sexuality, socio-economic status, etc. impede or propel students, faculty, and staff.
Minimum Qualifications
  • Master's or Ph.D. in Data Science, Computer Science, Business Analytics, or a related field
  • Demonstrated experience in retail analytics, e-commerce, or consumer data modeling.
  • A commitment to experiential learning and the ability to translate technical concepts into business value.
Preferred Qualifications
  • Knowledge and experience in data science, specifically customer analytics.
  • Experience and sensitivity in working with people of diverse backgrounds and cultures.
  • Demonstrated experience in advancing social justice, equity, and inclusion in a university setting.
  • Ability to engage and integrate culturally responsive practices and knowledge in their work.
Physical Requirements
Physical Requirements:
The physical demands described here are representative but not definitive of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Requires extended periods of sitting and repetitive hand/wrist motion while using a computer keyboard and phone. Occasional standing, walking, climbing stairs, bending, stooping, and reaching. Occasional lifting of up to 25 pounds.

No Visa Sponsorship:
This position is not eligible for visa sponsorship now or in the future.
Hiring Range $5000.00 per unit (We consider factors such as, but not limited to, scope and responsibilities of the position, candidate's qualifications, internal equity, as well as market and organizational considerations when extending an offer.) Special Instructions
To apply, please submit the following:
  • Curriculum vitae
  • Contact information for three references
Contact Information
Dr. James Hetrick
Professor/Director of Data Science.
email: jhetrick@PACIFIC.EDU
Contact Email jhetrick@pacific.edu
Reference Letter Information
Are Applicants Required to Submit References for This Posting? Yes Minimum Number of References 3 Maximum Number of References 3 Background Check Statement
All applicants who receive a conditional offer of employment are required to execute a release and authorization for a background screening.
AB 810 Misconduct Disclosure Requirement: University of the Pacific complies with California Assembly Bill 810, requiring candidates accepting conditional job offers to disclose any final administrative or judicial findings, ongoing proceedings, allegations, resignations under investigation, or appeals related to sexual harassment or misconduct within the past seven years.
Anti-Discrimination/EEO Policy Statement

University of the Pacific is an equal opportunity employer dedicated to workforce diversity across backgrounds, experiences, and viewpoints. Pacific does not unlawfully discriminate in its hiring of faculty and staff, or in the provision of its employment benefits to its faculty and staff on the basis of race, color, religion, national origin, ancestry, age, genetic information, sex/gender, marital status, military and veteran status, sexual orientation, medical condition, pregnancy, gender identity, gender expression, or mental or physical disability, or other legally protected characteristics or combination of such characteristics. While we strive to attract a broad and representative pool of candidates, all hiring decisions are made based on merit, selecting the most qualified individual for each position.

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