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

As of Jun 28, 2026, the average hourly pay for entry level computer science artificial intelligence in the United States is $16.92, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $17.31 per hour, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

Entry-level roles in artificial intelligence, such as AI developer or machine learning engineer, typically require advanced skills and experience, and rarely pay $10,000 a month without a degree or specialized training. Most high-paying AI positions demand strong programming skills, knowledge of algorithms, and often certifications or self-taught expertise. Achieving such income levels usually involves experience, a strong portfolio, or working in high-demand environments, rather than entry-level positions alone.

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 is the most entry-level AI job?

An entry-level AI job often refers to roles such as AI intern, research assistant, or junior machine learning engineer. These positions typically require foundational knowledge of programming languages like Python, basic understanding of machine learning frameworks, and sometimes a relevant internship or project experience.

Is AI taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek skills in machine learning, data analysis, and programming languages like Python. However, these roles typically require foundational knowledge, and competition remains high, making relevant internships and certifications valuable for new graduates.

Can I get an AI job with no experience?

Entry-level AI jobs often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is beneficial, candidates can improve their chances by completing online courses, building projects, and gaining certifications to demonstrate their skills to employers.

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.
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Entry Level Computer Science Artificial Intelligence jobs near you

Artificial Intelligence Computer Programming CTE

Washtenaw Area Schools Application Consortium

Ann Arbor, MI

Other

Posted 6 days ago

Job description

CAREER AND TECHNICAL EDUCATION (CTE) 

ARTIFICIAL INTELLIGENCE TEACHER
 Ypsilanti Community High School
 Ypsilanti Community Schools

REPORTS TO: Building Principal

SALARY: Per YCEA Contract

SUMMARY:

The Artificial Intelligence (AI) Career and Technical Education (CTE) Teacher provides engaging, industry-aligned instruction that prepares students for careers and postsecondary opportunities in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Software Development, and emerging technologies. The teacher develops students' technical skills, computational thinking, creativity, ethical decision-making, and problem-solving abilities through project-based and real-world learning experiences.

The successful candidate will create a rigorous and inclusive learning environment that empowers students to become responsible creators, users, and innovators of AI technologies while preparing them for industry-recognized credentials, postsecondary education, apprenticeships, and workforce opportunities.

QUALIFICATION REQUIREMENTS:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The qualifications listed below are representative of the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MINIMUM QUALIFICATIONS:

  • Valid Michigan Teaching Certificate with appropriate endorsement(s) OR the ability to meet Michigan Department of Education requirements for a Career and Technical Education (CTE) Annual Vocational Authorization in Artificial Intelligence, Computer Science, Information Technology, Software Development, Data Science, Engineering Technology, or a related field.
  • College degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, Educational Technology, or a related field preferred.
  • Demonstrated knowledge of Artificial Intelligence concepts, technologies, and applications.
  • Recent industry experience in Artificial Intelligence, Data Science, Software Development, Information Technology, Computer Programming, Engineering, Cybersecurity, or a related technical field preferred.
  • Strong communication, collaboration, and organizational skills.
  • Ability to integrate technology into classroom instruction.
  • Commitment to equitable, student-centered instructional practices.

PREFERRED QUALIFICATIONS:

  • Valid Michigan Teaching Certificate with Computer Science, Business, Technology, Mathematics, Engineering, or related endorsement.
  • Eligibility for or possession of a Michigan CTE Annual Vocational Authorization.
  • College degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, Educational Technology, or a related field preferred.
  • Industry experience in Artificial Intelligence, Data Science, Machine Learning, Software Development, Computer Programming, Cybersecurity, Information Technology, Engineering, or related fields.
  • Experience teaching Computer Science, Coding, Robotics, AI, Data Analytics, or STEM-related coursework.
  • Experience with programming languages such as Python, JavaScript, SQL, or similar languages.
  • Knowledge of machine learning concepts, prompt engineering, generative AI tools, data visualization, and data analysis.
  • Experience with project-based learning and work-based learning opportunities.
  • Experience developing business and industry partnerships that support student internships, mentorships, and career exploration opportunities.
  • Industry certifications such as:
    • Microsoft Certified Educator
    • Microsoft Azure AI Fundamentals
    • Microsoft Azure Data Fundamentals
    • Google AI Essentials
    • Google Data Analytics Certificate
    • CompTIA Tech+
    • CompTIA Data+
    • CompTIA Security+
    • AWS Cloud Practitioner
    • IBM AI Foundations
    • Other relevant AI, data science, cloud computing, or technology certifications

ESSENTIAL DUTIES AND RESPONSIBILITIES:

Other duties may be assigned.

  1. Implement the district-approved Artificial Intelligence and Computer Science curriculum.
  2. Develop and deliver engaging instruction in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Software Development, and emerging technologies.
  3. Create project-based learning experiences that connect classroom learning to real-world applications and industry challenges.
  4. Teach students responsible, ethical, and safe uses of Artificial Intelligence technologies.
  5. Integrate computational thinking, problem-solving, collaboration, creativity, and innovation into instruction.
  6. Utilize industry-standard software, tools, and platforms to support student learning.
  7. Differentiate instruction to meet the needs of diverse learners.
  8. Assess student performance using a variety of formative and summative assessment strategies.
  9. Maintain accurate student records and communicate student progress to families.
  10. Foster a classroom environment that promotes inquiry, innovation, collaboration, and student engagement.
  11. Support students in developing workplace readiness, leadership, communication, and employability skills.
  12. Prepare students for industry-recognized certifications and postsecondary opportunities in AI, technology, and related fields.
  13. Coordinate and support student participation in internships, work-based learning experiences, competitions, and career exploration activities.
  14. Collaborate with counselors, administrators, industry partners, and postsecondary institutions to strengthen student career pathways.
  15. Develop and maintain partnerships with local businesses, colleges, universities, and workforce development organizations.
  16. Participate in curriculum development and continuous program improvement activities.
  17. Maintain current knowledge of emerging AI technologies, industry trends, workforce demands, and educational best practices.
  18. Participate in required district professional development and CTE compliance activities.
  19. Be available to students and parents for education-related purposes outside the instructional day as appropriate.

WORK ENVIRONMENT:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The employee regularly works in a classroom, computer lab, and technology-rich learning environment. The employee frequently interacts with students, parents, staff, community members, industry partners, and postsecondary institutions. The employee is directly responsible for the safety, well-being, and educational progress of students.

APPLICATION PROCEDURE:

Complete all sections of the online application at: https://www.ycschools.us/employment

Applicants must upload the following documents:

  • Letter of Interest
  • Resume
  • Copy of Michigan Teaching Certificate (if applicable)
  • Copies of relevant industry certifications (if applicable)

DEADLINE:

Until Filled

TERMS OF EMPLOYMENT:

The contract, salary, and other employment conditions will be established by the Board of Education. Applicants who receive a conditional offer of employment must commit to supporting the district's educational mission and participate in all required district and building-level training programs.

FUNCTIONS OF POSITION DESCRIPTION:

This position description has been prepared to define the general duties of the position, provide examples of work performed, and identify the required knowledge, skills, abilities, and experience. This description is not intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision.

Ypsilanti Community Schools reserves the right to modify, amend, add to, or delete any portion of this position description at any time.

This position description is not a contract of employment.

Ypsilanti Community Schools is an Equal Opportunity Employer and complies with the Americans with Disabilities Act (ADA). The District provides reasonable accommodations to qualified individuals with disabilities and encourages applicants and employees to discuss accommodation needs with Human Resources.

NONDISCRIMINATION STATEMENT:

The Board of Education does not discriminate on the basis of race, color, national origin, immigration status, sex (including sexual orientation, gender identity, or gender expression), disability, age, religion, height, weight, marital status, familial status, military status, ancestry, genetic information, or any other legally protected status in its programs, services, activities, or employment opportunities.



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