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Internship Teen Computer Science Jobs in Sevierville, TN

DS interns will have a designated data scientist mentor and will spend the majority of their time ... Computer Science Mathematics Natural or Social Sciences Relevant additional backgrounds also ...

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Internship Teen Computer Science information

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How much do internship teen computer science jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for internship teen computer science in Sevierville, TN is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.53 per hour, depending on experience, location, and employer.

What is the difference between Internship Teen Computer Science vs Junior Software Developer?

AspectInternship Teen Computer ScienceJunior Software Developer
Required CredentialsHigh school diploma or ongoing education, basic programming knowledgeAssociate's or Bachelor's degree in Computer Science or related field, some coding experience
Work EnvironmentEducational settings, tech camps, or entry-level projectsProfessional office or remote work, collaborative teams
Employer & Industry UsageEducational institutions, tech companies, startupsTech firms, software companies, IT departments
Common Search & Comparison IntentLearning opportunities, entry-level experienceCareer progression, job responsibilities

Internship Teen Computer Science positions are designed for high school students or beginners exploring tech, focusing on learning and basic skills. Junior Software Developers are more advanced roles requiring some formal education and coding experience, working on real projects within professional teams. The internship is ideal for gaining initial exposure, while the junior role is a step toward a full-time career in software development.

How to get computer science internships as a freshman?

To secure a computer science internship as a freshman, focus on building strong programming skills in languages like Python or Java, participate in coding competitions, and gain experience through personal projects or open-source contributions. Applying early, networking with professionals, and seeking internships through school programs or online platforms can also improve your chances.

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but generally, internships at technology companies or research labs that offer hands-on experience with programming, software development, or data analysis are highly valuable. Look for opportunities that provide mentorship, exposure to real-world projects, and skills in programming languages like Python, Java, or C++, as well as familiarity with tools such as Git and Linux. These internships can enhance technical skills and improve job prospects after graduation.

What are popular job titles related to Internship Teen Computer Science jobs in Sevierville, TN?

For Internship Teen Computer Science jobs in Sevierville, TN, the most frequently searched job titles are:

What job categories do people searching Internship Teen Computer Science jobs in Sevierville, TN look for?

The top searched job categories for Internship Teen Computer Science jobs in Sevierville, TN are:

What cities near Sevierville, TN are hiring for Internship Teen Computer Science jobs?

Cities near Sevierville, TN with the most Internship Teen Computer Science job openings:

Infographic showing various Internship Teen Computer Science job openings in Sevierville, TN as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $40,302 per year, or $19.4 per hour.

Post-Doctoral Research Associate: Department of Electrical Engineering and Computer Science - UTK

Knoxville, TN • On-site

The University of Tennessee
Colleges, Universities, and Professional Schools • 1 - 5K employees

$75K/yr

Full-time

Re-posted 13 days ago


Job description

The University of Tennessee, Knoxville (UTK) is seeking a Postdoctoral Research Associate in the Min H. Kao Department of Electrical Engineering and Computer Science (EECS) to conduct research in computer vision and machine learning in support of existing and future funded research.

The postdoctoral researcher will work as part of a multi-institutional research team, developing, training, and evaluating computer vision and deep learning models for advanced computer vision tasks. This is a unique opportunity to contribute novel research while building a research portfolio in fast-growing areas of computer vision and building collaborations.

The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service. 

UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory. 

The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.  

UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone. 

The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.  

Apply today and join the Tennessee Volunteer community! 

Required Qualifications

  • Education: Ph.D. in Computer Science or Computer Engineering

  • Experience

    • Demonstrated research experience in computer vision and/or machine learning, including hands-on development of deep learning models using modern frameworks.

    • Track-record of publishing at top computer vision (CVPR/ICCV/ECCV) and machine learning (ICML/ICLR/NeurIPS) conferences.

  • Knowledge, Skills, Abilities: 

    • Strong programming skills in Python.

    • Solid understanding of deep learning architectures (e.g., CNNs, transformers) applied to visual recognition and video understanding tasks.

    • Ability to work both independently and collaboratively within a multidisciplinary, multi-institutional research team.

    • Strong written and verbal communication skills, including the ability to document and present technical work.

Work Location 

  • Location: Knoxville, TN

  • Onsite

Compensation and Benefits

  • Anticipated hiring range: $75,024

  • Find more information on UT Benefits here

Application Instructions

To express interest, please submit an application with the noted below attachments:

  • Resume

  • Cover Letter

About The Department

EECS at UTK has 49 full-time T/TT faculty members, three members of the National Academy of Engineering, 15 IEEE Fellows, 13 NSF/DOE CAREER awardees, and 15 ranked in World's Top 2% Scientists as compiled by Stanford. The department has a growing enrollment of more than 1000 undergraduate and 450 graduate students across the three majors of Electrical Engineering, Computer Engineering, and Computer Science. In addition, the department offers undergraduate minors in computer science, cybersecurity, datacenter technology and management, and machine learning. 

  • Design, implement, and evaluate computer vision and deep learning algorithms for object detection, identification, tracking, and re-identification across non-collaborative, multi-camera video sources.

  • Curate, preprocess, and manage large-scale video and image datasets used for model training and evaluation.

  • Document methods and results; contribute to technical reports, program deliverables, and briefings for sponsors.

  • Publish and present research findings in at leading computer vision/machine learning conferences.

  • Contribute to the preparation of proposals, papers, and reports as needed.

  • Mentor graduate students and interns as appropriate.