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Computer Science Peer Mentor Jobs in Elgin, TX (NOW HIRING)

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

Mentor and uplift junior data scientists, setting standards for excellence Minimum Qualifications * Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science or a related ...

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

Mentor junior engineers and contribute to the overall growth of the machine learning and computer ... At least a master's degree in computer science, Electrical Engineering, or a related field, with a ...

... Political Science), Computer Science, Engineering, Statistics, Geographic Information Systems ... Demonstrated experience working in teams and collaborating with peers, with a willingness to ...

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Computer Science Peer Mentor information

See Elgin, TX salary details

$11

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$25

How much do computer science peer mentor jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for computer science peer mentor in Elgin, TX is $18.28, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.00 per hour, depending on experience, location, and employer.

What challenges do computer science peer mentors face when supporting fellow students, and how are these typically addressed?

Computer Science Peer Mentors often encounter challenges such as explaining complex technical topics in an accessible way, managing time between mentoring and their own coursework, and addressing diverse learning styles among mentees. To address these, mentors receive training in communication and teaching strategies, collaborate closely with faculty, and participate in regular team meetings to share best practices. Additionally, most programs encourage mentors to set clear boundaries and use structured schedules to balance their responsibilities effectively.

What skills and qualifications are needed to thrive as a computer science peer mentor?

To thrive as a Computer Science Peer Mentor, a strong grasp of core computer science concepts, programming languages, and coursework—often demonstrated by successful completion of relevant classes—is essential. Familiarity with learning management systems, code collaboration platforms (like GitHub), and experience with tutoring tools or educational software is typically required. Excellent communication, patience, and active listening skills help a mentor effectively support and motivate fellow students. These skills ensure mentors can clearly explain complex topics, foster a supportive learning environment, and guide mentees toward academic success.

What is the difference between Computer Science Peer Mentor vs Computer Science Tutor?

AspectComputer Science Peer MentorComputer Science Tutor
Required CredentialsTypically current students with strong CS knowledgeOften certified or experienced in specific CS topics
Work EnvironmentPeer-led sessions, informal settings, campus programsFormal tutoring sessions, academic centers, online platforms
Employer & Industry UsageUniversity programs, student organizationsAcademic institutions, tutoring companies
Common Search & Comparison IntentUnderstanding peer support roles in CSFinding professional help for CS coursework

Computer Science Peer Mentors are usually current students providing informal guidance within campus programs, focusing on peer support. In contrast, Computer Science Tutors often have formal credentials and offer structured tutoring sessions. Both roles aim to assist students but differ in their approach, credentials, and settings.

Do computer science peer mentors get paid?

Computer science peer mentors are often volunteer positions, but some programs offer stipends or hourly pay depending on the institution. Paid roles typically require mentoring skills, technical knowledge, and sometimes training or certifications. Compensation varies by program and organization.

What is a computer science peer mentor?

Computer Science Peer Mentors are experienced students who provide guidance, support, and resources to fellow computer science students. They help peers with academic questions, study strategies, and navigating the challenges of computer science coursework. Peer mentors often lead study sessions, offer advice on time management, and connect students to useful campus resources. Their goal is to foster a supportive learning environment and help students succeed in their computer science studies.
What cities near Elgin, TX are hiring for Computer Science Peer Mentor jobs? Cities near Elgin, TX with the most Computer Science Peer Mentor job openings:

Professor of Computer Science, Statistics, or Applied Mathematics (any rank)

UATX

Austin, TX • On-site

Full-time

Re-posted 20 days ago


Job description

The Center for Science, Technology, Engineering & Mathematics (CSTEM) at the University of Austin invites applications and nominations for full-time faculty (any rank). Applicants should have a strong interest in teaching undergraduate STEM courses and conducting research. As a new university, we seek to hire faculty at all levels, with particular needs for faculty specialized in computer science, statistics, applied mathematics, and artificial intelligence. The ideal candidate will be comfortable with interdisciplinary collaboration and quantitative rigor. Qualified candidates should have a Ph.D. in a relevant discipline or a degree conferred by the start date.
Responsibilities
- Teach a full load of six quarter-length courses per year (typically two per term), contributing to the development of undergraduate syllabi for core courses and bringing creativity and breadth of knowledge to classroom design.
- Participate actively in faculty meetings, guest lectures, and campus events, helping to sustain and enrich the university's intellectual life.
- Mentor students with an interest in STEM, guiding their academic development and plans.
- Advance UATX's mission of civil discourse by fostering an environment of open inquiry in both teaching and research, modeling academic freedom and respectful debate.
Qualifications
- Ph.D. in a STEM discipline, or closely related field.
- Demonstrated record of excellence in teaching at the undergraduate level.
- Strong commitment to UATX's mission of free inquiry, open debate, and intellectual diversity.
Appointment & Support
This is a full-time faculty position, open rank (assistant, associate, or full professor), with a start date as early as Summer 2026 and is an ongoing search. While UATX does not offer tenure, this line carries a comparable expectation of long-term stability.
Applicants should submit:
- Cover letter describing interest in the position and alignment with UATX's mission
- Curriculum vitae
- Contact information for three professional references
- Writing sample or published research
- Evidence of teaching excellence, or other materials relevant to classroom experience
The University of Austin
Founded in 2022, the University of Austin (UATX) is dedicated to reviving fearless inquiry and open discourse in higher education. UATX offers a B.A. in Liberal Studies and welcomes its first freshman class in Fall 2024. The university currently employs nearly 30 full-time professors and is expanding rapidly.
The Center for Science, Technology, Engineering & Mathematics (CSTEM)
The Center for Science, Technology, Engineering & Mathematics (CSTEM) offers an undergraduate concentration focused on the rigorous application of the scientific method and engineering principles. The Center aims to be a leading program for innovation, quantitative analysis, and technological advancement. CSTEM scholars seek to equip students with the mathematical fluency and computational tools necessary to build the future and solve complex problems. Central features of our curriculum design include a commitment to empirical truth, interdisciplinary inquiry, and a deep appreciation for the history and philosophy of science and technology.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.