2

Entry Level Computer Science Artificial Intelligence Jobs in Detroit, MI

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

IT Co-Op

Novi, MI · On-site

$14.25 - $18.75/hr

Information Technology, Information Systems, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field * Minimum GPA of 3.0 preferred * Basic understanding of ...

IT Co-Op

Novi, MI

$14 - $18.75/hr

Information Technology, Information Systems, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field * Minimum GPA of 3.0 preferred * Basic understanding of ...

IT Co-Op

Novi, MI · On-site

$14.25 - $18.75/hr

Information Technology, Information Systems, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field * Minimum GPA of 3.0 preferred * Basic understanding of ...

next page

Showing results 1-20

Entry Level Computer Science Artificial Intelligence information

See Detroit, MI salary details

$13

$16

$20

How much do entry level computer science artificial intelligence jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for entry level computer science artificial intelligence in Detroit, MI is $16.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $17.12 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What are Entry Level Computer Science Artificial Intelligence jobs?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry-level AI professional in computer science?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Artificial Intelligence professional, and why are they important?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Detroit, MI? The most popular types of Computer Science Artificial Intelligence jobs in Detroit, MI are:
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Detroit, MI? For Entry Level Computer Science Artificial Intelligence jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Detroit, MI look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities near Detroit, MI with the most Entry Level Computer Science Artificial Intelligence job openings:
Chair of Computer and Information Science (CIS)

Chair of Computer and Information Science (CIS)

University of Michigan-Dearborn

Dearborn, MI • On-site

Full-time, Part-time

Re-posted 7 days ago


Job description

Description
The College of Engineering and Computer Science at the University of Michigan-Dearborn is seeking a visionary leader to serve as Chair of its Department of Computer and Information Science (CIS), with a targeted starting date of September 1, 2025. We are looking for candidates who will not only advance their field but also mentor and inspire a diverse student body and faculty team. As Chair, you will play a pivotal role in advancing innovative research and teaching practices and ensuring that the department is a welcoming place where everyone has the opportunity to succeed.
Join us in shaping a future where diverse perspectives drive excellence and innovation in engineering and computer science education. If you are a visionary leader ready to make a significant impact, we encourage you to apply.
Over the past five years, the department has seen substantial enrollment growth, with over 800 undergraduate and 440 master's students and about 20 Ph.D. students enrolled for Winter 2025. The department offers ABET-accredited B.S. degrees in Computer and Information Science and Software Engineering, as well as two (not yet accredited) B.S. degrees in Cybersecurity and Information Assurance, and Data Science. Additionally, the department provides master's programs in Computer and Information Science, Software Engineering, Artificial Intelligence, Cybersecurity and Information Assurance, and Data Science. The department also offers a Ph.D. in Computer and Information Science administered through the University of Michigan Rackham Graduate School. Currently, the department has 20 tenured or tenure-track faculty members (including 8 assistant professors), 2 full-time lecturers, and 13 part-time lecturers. Two new assistant professors and a full-time lecturer are expected to join the department in Fall 2025. The faculty's research expertise includes areas such as networking, security, data management, data science, artificial intelligence, and software engineering.
The College has embraced project-based learning as a cornerstone of its educational approach and has recently become a KEEN partner university, emphasizing the integration of entrepreneurial-minded learning into its curriculum.
Additional Information
The University of Michigan-Dearborn (UM-Dearborn) is one of the three campuses of the University of Michigan. UM-Dearborn, a comprehensive university offering high quality undergraduate, graduate, professional and continuing education to residents of southeastern Michigan, and attracts more than 8,100 students. Our faculty comes from respected universities and doctoral programs, are recognized for excellence in research and teaching, and are active in professional and academic service roles in their respective fields.
US News & World Report ranks UM-Dearborn #1 among regional public universities in the state of Michigan and #3 among regional public universities in the Midwest. Additionally, US News & World Report ranks UM-Dearborn #13 in Top Performers in Social Mobility. These rankings recognize our commitment to offering rigorous educational programs, coupled with a focus on student experience and success.
The University of Michigan-Dearborn is in historic Dearborn, MI, the heart of the U.S. automotive industry. The University of Michigan-Dearborn is dedicated to the goal of building a culturally diverse and pluralistic faculty committed to teaching and working in a multicultural environment. UM-Dearborn is an equal opportunity employer and encourages applications from women and minorities.
Qualifications
Candidates must have an earned doctorate in Computer Science or a closely related discipline, with a distinguished record in research, teaching, and visibility consistent with appointment as professor with tenure at the UM-Dearborn College of Engineering and Computer.
Our next leader will have demonstrated abilities in research and curriculum innovations, possess outstanding communication and interpersonal skills, and be capable of fostering a collaborative and respectful environment.
The selected candidate will be expected to advance the department's recent accomplishments in research and teaching, while serving as a champion for students, faculty, and staff, as well as a promoter of the visions of the department, college, and university.
Application Instructions
Review of applications will start immediately, with applications being reviewed continuously until the position is filled. Applications will remain confidential until on-campus interviews; we expect to conduct on-campus interviews in April 2025.