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Computer Science Teaching Jobs in Austin, TX (NOW HIRING)

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

Computer Programming Tutor

Austin, TX · Remote

$18 - $40/hr

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

... students for computer science coursework and software engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching problem decomposition, algorithm design, and code ...

Java Tutor

Austin, TX · Remote

$18 - $40/hr

... Computer Science A, college-level software development, and industry certification examinations. * Conceptual Teaching & Problem-Solving: Skilled at breaking down class design, inheritance ...

Showing results 41-60

Computer Science Teaching information

See Austin, TX salary details

$36.2K

$64.9K

$120.4K

How much do computer science teaching jobs pay per year?

As of Aug 23, 2026, the average yearly pay for computer science teaching in Austin, TX is $64,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $68,900.00 per year, depending on experience, location, and employer.

What is computer science teaching?

Computer science teaching involves instructing students on topics related to computer science, such as programming, algorithms, data structures, computer systems, and computational thinking. Educators in this field work in various settings, including schools, colleges, universities, and online platforms. Their goal is to help students develop problem-solving skills, understand theoretical concepts, and gain practical experience with technology. Computer science teachers may also design curricula, assess student progress, and stay updated with advancements in the rapidly evolving field.

What are some common challenges computer science teachers face when introducing programming concepts to students?

One common challenge computer science teachers encounter is addressing the wide range of prior knowledge and experience among students, as some may be completely new to programming while others have advanced skills. Teachers must also find engaging ways to explain abstract concepts, making them accessible and relevant to learners with different interests and learning styles. Additionally, keeping up with rapidly evolving technologies and ensuring that course content remains current can be demanding. Collaboration with other educators and leveraging online resources often help in overcoming these challenges and enhancing student engagement.

What are the key skills and qualifications needed to thrive as a computer science teacher, and why are they important?

To thrive as a Computer Science Teacher, you need a solid background in computer science concepts, teaching credentials, and often a relevant degree or certification in education. Familiarity with programming languages (such as Python or Java), learning management systems, and educational technology tools is typically required. Strong communication, patience, and the ability to inspire and engage students are crucial soft skills. These competencies ensure effective instruction, support diverse learners, and foster a positive and productive classroom environment.

Is there a shortage of computer science teachers?

There is a recognized shortage of qualified computer science teachers in many regions, driven by high demand for technology education and a limited supply of educators with specialized skills in programming, algorithms, and computer systems. This shortage often leads to increased job opportunities, competitive salaries, and a need for ongoing professional development and certifications for teachers in this field.

What do computer science teachers do?

Computer science teachers develop and deliver lessons on programming, algorithms, data structures, and software development. They assess student progress, create curriculum materials, and may incorporate tools like coding platforms and programming languages to facilitate learning in classroom or online settings.

What are the most commonly searched types of Computer Science Teaching jobs in Austin, TX?

The most popular types of Computer Science Teaching jobs in Austin, TX are:

What cities near Austin, TX are hiring for Computer Science Teaching jobs?

Cities near Austin, TX with the most Computer Science Teaching job openings:

Infographic showing various Computer Science Teaching job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $64,895 per year, or $31.2 per hour.

Professor of Process Science and Technology - Chemical Engineering - Fall 2026

Cockrell School of Engineering

Austin, TX • On-site

Full-time

Re-posted 11 days ago


Job description

Description
The McKetta Department of Chemical Engineering at The University of Texas Austin is seeking to fill a senior faculty position, with a focus on research and teaching in separation technologies. The ideal candidate will be a visionary leader who can bring together collaborative teams from academia and industry, advancing translational research that utilizes the University's recent multi-million-dollar pilot-scale investments at the Process Science and Technology Center.
Responsibilities will include mentoring graduate students, teaching undergraduate and graduate courses, developing a robust externally funded research program, collaborating with faculty from different research areas, and contributing to university and professional service.
The McKetta Department is committed to fostering a welcoming community and supporting the family needs of faculty, including dual-career couples and single parents.
Qualifications
Applicants must hold a doctoral degree in chemical engineering or a related field, and have a proven record in academic research and experience with industry-academia partnerships.
Application Instructions
Applications should be submitted electronically via UT Austin Interfolio. Review of applications will begin immediately and continue until the position is filled; submitting by November 15, 2025 is highly recommended.
Interested candidates should provide a cover letter, current curriculum vitae, statement of research interests, statement outlining plans for leading interdisciplinary research, mentoring statement, and statement of teaching philosophy and experience. Applicants must supply contact information for at least five references.
The selected candidate will need to complete an Employment Eligibility Verification form and provide documentation to verify identity and eligibility for U.S. employment. A security-sensitive background check will be performed for the final candidate.
The University of Texas at Austin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, religion, sex, national origin, disability, age, citizenship status, Vietnam era or special disabled veteran's status, or sexual orientation. A background check will be conducted on the selected applicant.