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Computer Science Teaching Jobs in Round Rock, TX

Applicants must have direct, professional teaching or tutoring experience with students ... Broader weekday and weekend availability is a plus Fast and reliable internet connection Computer ...

Applicants must have direct, professional teaching or tutoring experience with students ... Computer or laptop with microphone and camera. A stylus pen is highly recommended for clear ...

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 ...

Java Tutor

Round Rock, 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 ...

Discrete Math Tutor

Austin, TX · Remote

$18 - $40/hr

... students for computer science theory, cryptography, and advanced mathematics coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down proof construction using direct ...

Discrete Math Tutor

Round Rock, TX · Remote

$18 - $40/hr

... students for computer science theory, cryptography, and advanced mathematics coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down proof construction using direct ...

Showing results 41-60

Computer Science Teaching information

See Round Rock, TX salary details

$34K

$61.1K

$113.3K

How much do computer science teaching jobs pay per year?

As of Aug 12, 2026, the average yearly pay for computer science teaching in Round Rock, TX is $61,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $64,800.00 per year, depending on experience, location, and employer.

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.

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 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 popular job titles related to Computer Science Teaching jobs in Round Rock, TX? For Computer Science Teaching jobs in Round Rock, TX, the most frequently searched job titles are:
What cities near Round Rock, TX are hiring for Computer Science Teaching jobs? Cities near Round Rock, TX with the most Computer Science Teaching job openings:
Infographic showing various Computer Science Teaching job openings in Round Rock, TX as of August 2026, with employment types broken down into 49% Full Time, 17% Part Time, 17% Temporary, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $61,054 per year, or $29.4 per hour.

Research Scientist, Texas GenAI Center

University of Texas at Austin

Austin, TX • On-site

Other

Medical, Vision

This job post has expired today. Applications are no longer accepted.


University Of Texas at Austin rating

8.2

Company rating: 8.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

143rd of 618 rated colleges and universities


Job description

Job Posting Title:

Research Scientist, Texas GenAI Center

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Hiring Department:

Department of Computer Science

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

To Be Determined at Offer

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Earliest Start Date:

Ongoing

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Position Duration:

Expected to Continue

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Location:

AUSTIN, TX

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Job Details:

General Notes

Funding for the position is budgeted for three years; however, the position may continue beyond the initial budgeted timeframe contingent upon the realization of research funding from external grants or industry partners.

Purpose

Under the direction of the Director of the Center for Generative AI, the individual will, with independence commensurate with experience, perform research within the Center for Generative Artificial Intelligence and its parent organization, the Machine Learning Laboratory. Successful candidates will be appointed within either the Department of Computer Science or the Department of Electrical and Computer Engineering depending upon the applicant's research thrust. In addition to competitive salary and benefits, this position includes funding for independent travel to workshops, conferences and other universities and research labs.

This multi-year program will host several researchers working on one or more of the following topics:

  • Natural Language Processing

  • Computer Vision

  • Machine Learning for Biology

  • Machine Learning for Health/Medicine

Responsibilities
  • Read and write manuscripts for publication in peer-reviewed conferences and journals.

  • Advance collaborative projects with industry via the Machine. Learning Laboratory's industry affiliates partner program. Candidate should expect to spend one day per week on industry-facing projects.

  • Present research findings in public forums.

  • Collaborate with researchers and students at UT Austin.

  • Organize seminars, workshops, and other research activities.

Required Qualifications

Master's degree in Computer Science, Computer Engineering or a very closely related field with major coursework in these areas. Five (5) years collaborative experience post-degree. Documented experience in project management in a research setting. Excellent communication and collaborative skills, both oral and written. Professional demeanor.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

PhD in a field related to computer science or computer engineering. Ten (10) years collaborative experience post-degree. Practical understanding of data privacy practices and laws to ensure privacy, confidentiality, security, and of IRB/Institutional approval processes.

Salary Range

$90,000 to $120,00+ (depending on education and experience)

Working Conditions
  • May work around standard office conditions.

  • Repetitive use of a keyboard at a workstation.

Required Materials
  • Curriculum vitae
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest

Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

  • E-Verify Poster (English) [PDF]
  • E-Verify Poster (Spanish) [PDF]
  • Right To Work Poster (English) [PDF]
  • Right To Work Poster (Spanish) [PDF]

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.


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