ZipRecruiter

Log In

1

Internship Ai Computer Science Jobs (NOW HIRING)

Tri-C

Intern, Computer Science

Parma, OH · On-site

Internship Responsibilities and Activities: The primary goal of this internship is to review and update the Help isHere (HIH) app. Responsibilities include: Review and update the HIH app. * Develop a ...

Tt

AI & Computer Vision Intern

New York, NY

Thornton Tomasetti applies engineering and scientific principles to solve the world's challenges ... We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice.

Atomic Machines

AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

next page

Showing results 1-20

All JobsInternship Ai Computer Science Jobs

Internship Ai Computer Science information

What is an AI Computer Science internship?

An AI Computer Science internship is a temporary position for students or recent graduates to gain hands-on experience working with artificial intelligence technologies and computer science concepts. Interns typically work on real-world projects involving machine learning, data analysis, programming, and algorithm development. These internships help build practical skills, expand professional networks, and often serve as a stepping stone to full-time jobs in the tech industry.

What are the key skills and qualifications needed to thrive as an AI Computer Science Intern, and why are they important?

To thrive as an AI Computer Science Intern, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and foundational AI concepts, typically supported by ongoing or completed studies in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems (such as Git), and data analysis tools is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns stand out. These skills and qualities are crucial for contributing to complex AI projects, adapting to new technologies, and collaborating effectively within technical teams.

What types of projects can I expect to work on during an AI Computer Science internship?

As an AI Computer Science intern, you can expect to work on projects such as developing machine learning models, analyzing large datasets, assisting with algorithm optimization, or contributing to research on natural language processing or computer vision. Interns often collaborate with cross-functional teams including data scientists, software engineers, and product managers. The work environment is typically fast-paced and encourages learning, experimentation, and regular feedback. You'll have opportunities to present your findings, participate in code reviews, and attend team meetings, helping you build both technical and professional skills.
More about Internship Ai Computer Science jobs
What cities are hiring for Internship Ai Computer Science jobs? Cities with the most Internship Ai Computer Science job openings:
What are the most commonly searched types of Ai Computer Science jobs? The most popular types of Ai Computer Science jobs are:
What states have the most Internship Ai Computer Science jobs? States with the most job openings for Internship Ai Computer Science jobs include:
What job categories do people searching Internship Ai Computer Science jobs look for? The top searched job categories for Internship Ai Computer Science jobs are:
Internship Ai Computer Science jobs near you
Infographic showing various Internship Ai Computer Science job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 2% As Needed, 35% Full Time, 57% Part Time, and 4% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Computer Science - Tenure Track Faculty

Computer Science - Tenure Track Faculty

Sinclair Community College

Dayton, OH • On-site

Full-time

Retirement

Posted 24 days ago

Job description

Position Information
Position Information (Default Section)
Job Title
Computer Science - Tenure Track Faculty
Location
Main Campus - Dayton, OH
Job Number
05394
Department
Computer Science
Job Category
Faculty
Job Type
Full-time Tenure Track
Status
Regular
Job Open Date
01/28/2026
Resume Review Date
Ongoing
Closing Date
Open Until Filled
Yes
Position Summary
The Sinclair Computer Science Department is seeking a full-time, tenure-track Computer Science faculty member to join its Business & Public Services Division beginning Fall 2026. This program provides students with a strong foundation in core computer science concepts, including mathematics, programming, and problem-solving skills.
This tenure track role typically requires at least a 40-hour work week which includes a course load of 15 credit hours per semester, and a minimum of five office hours per week. In addition to these responsibilities, the instructor will be expected to perform related duties such as serving on department and college committees, supervising student internships, serving as an ambassador for the Computer Science program, and mentoring and coaching students. Teaching assignments may include day and evening assignments on the Dayton, Centerville, and Mason campuses. The position reports to the Computer Science Department Chair.
All full-time faculty salaries are determined by the Provost's Office and are commensurate with education and experience.This position is open only to applicants who reside in Ohio, Indiana, or Kentucky, or who are able to perform work within one of these states. Sinclair Community College restricts employment to approved states due to employment, tax, and benefits compliance requirements.
Why work for Sinclair College?
The following are some of the benefits that full-time faculty with Sinclair College receive:
  • Tuition waiver for employee and dependents for all Sinclair courses and programs
  • Structured opportunity for advancement and promotion
  • Support for continued professional development and education
  • STRS pension participation, with 14% employer contribution
  • High quality programs and events for work-life balance

*SCC has the right to revise this position description at any time. This position description does not represent in any way a contract of employment.
Principal Accountabilities
Satisfactory performance of the Four Critical Performance areas required for all full-time faculty:
  • Teaching, Learning, and Student Development: Participate in the continuing development and implementation of the department's curriculum through teaching that reflects a strong commitment to fostering student success. Through in-class and out-of-class initiatives, actively seek to advance the development of individual students and their capacity to meet their educational goals.
  • Scholarship and Professional Growth: Maintain and seek to improve currency and competence in the discipline and as a teacher.
  • Curriculum Design, Assessment, and Evaluation: In collaboration with colleagues, actively contribute to the continuous review and revision of the department's curriculum. Must exhibit advanced computer proficiency, alongside the capability and time-management skills required for the effective development and revision of online courses. Implement evaluations according to established standards and use assessment data to continuously improve teaching and learning.
  • Workplace and Community Service: Contribute to the operation and advancement of the college through committee service and other activities. Extend professional expertise to the community served by the college.
  • Compliance with the terms and conditions set forth in the Full-Time Faculty Handbook and the Full-Time Employee Handbook
  • Teaching a minimum of 30 semester hours annually during the academic year
  • Other duties as assigned

Requirements
  • Minimum of a master's degree in computer science, computer engineering, or a related area required OR significant and relevant work experience in a computer science or software development role can be considered in lieu of a degree in a preferred discipline
    • Candidates without a master's degree will be required to obtain one within a specified time
  • Minimum of 5 years of related work experience required
  • Successful prior teaching experience required, at the community college or university level preferred
  • Flexible teaching availability, including day, evening, and weekend classes, at the Dayton, Centerville, and Mason campuses; Prison Education Program campuses; and local K-12 schools offering CCP courses, as applicable
  • Demonstrated familiarity with and support for institutionally approved uses of artificial intelligence in classroom and instructional practices required
  • Experience in a technical or instructional position related to computer science, software development, and web development preferred
  • Evidence of successful prior teaching experience required
  • Skills in computer programming with a variety of languages, database design and development, and application development
  • Active business and industry engagement in the region served by Sinclair Community College preferred
  • Effective communication and interpersonal skills, with the ability to work successfully in a community college environment
  • Demonstrated commitment to improving student learning through innovative strategies shown to help students succeed at the course and program level, including ability to teach in a student-centered active learning model required

Candidates will be required to demonstrate teaching methods and strategies via a 10-15-minute presentation during the interview process.

Apply