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Entry Level Computer Science Artificial Intelligence Jobs in Tucson, AZ

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Entry Level Computer Science Artificial Intelligence information

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

As of Sep 12, 2026, the average hourly pay for entry level computer science artificial intelligence in Tucson, AZ is $16.00, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $16.35 per hour, depending on experience, location, and employer.

What is an entry level computer science artificial intelligence job?

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 computer science artificial intelligence professional?

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?

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 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.

Can I get an entry level computer science artificial intelligence job with no experience?

Entry level computer science artificial intelligence positions often require some foundational knowledge in programming, algorithms, and machine learning, but many employers consider candidates with relevant coursework, personal projects, or certifications even without formal work experience. Building skills in languages like Python and tools such as TensorFlow can improve your chances, and internships or online courses can help demonstrate your abilities to employers.

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates often need foundational knowledge in programming languages like Python and familiarity with AI frameworks to succeed.

What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Tucson, AZ?

For Entry Level Computer Science Artificial Intelligence jobs in Tucson, AZ, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Tucson, AZ look for?

The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Entry Level Computer Science Artificial Intelligence jobs?

Cities near Tucson, AZ with the most Entry Level Computer Science Artificial Intelligence job openings:

Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $33,280 per year, or $16 per hour.

Simulation Analysis Engineer II Onsite

Tucson, AZ • On-site

Raytheon
Guided Missile and Space Vehicle Manufacturing • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 3 days ago. Applications are no longer accepted.


RTX rating

8.2

Company rating: 8.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz


Job description

Date Posted:

2026-08-19

Country:

United States of America

Location:

US-AZ-TUCSON-805A ~ 1151 E Hermans Rd ~ BLDG 805A

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Top Secret

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

What You Will Do

  • Support the design, development, and/or utilization of high-fidelity digital simulation software in advanced technical computing environments.

  • Contribute to trade studies to assess system performance of weapons against a variety of threats in a variety of kill chain scenarios.

  • Contribute your knowledge of performance engineering practices and procedures to evaluate work across a wide range of intriguing computational problems answering questions such as: what should be the next system improvement; what is the effectiveness of the missile against a single or multiple threats; or what counter measures should be considered to increase effectiveness and/or survivability and other operational performance related questions.

  • Collaborate with team members and stakeholders to develop and implement analytic approaches that produce data to guide program decisions.

  • Participate in the development, implementation, validation and testing of model-based solutions to power real-time combat decision aids and associated software.

Qualifications You Must Have

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience unless prohibited by local laws/regulations.

  • Experience with Scripting (MATLAB, Python, etc.) and/or programming (C, C++, etc.) 

Qualifications We Prefer

  • Specific majors: Physics, Mathematics, Applied Mathematics, Data Science, Operations Research, Systems Engineering, Industrial Engineering, Computer Science, Aerospace Engineering, Computer/Electrical Engineering

  • Coursework, internship, projects or work experience in the following areas:

  • Simulation modeling, development, and/or analysis of physical systems

  • Knowledge of the systems engineering life-cycle model

  • Software development processes and object-oriented design using C/C++ and/or Java in either Unix or Linux computing environments.

  • Artificial Intelligence / Machine Learning (AI/ML) or Surrogate Modeling

  • Computation on high-performance computing (HPC) grids/clusters, SLURM

  • Prior experience in or with military, or substantive domain knowledge of tools and tactics of warfare

  • Prior experience with classified material

  • Active and transferable U.S. government issued SECRET or TOP SECRET security clearance

What We Offer

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

  • Location: Tucson, AZ: https://careers.rtx.com/global/en/raytheon-tucson,-az-location #LI-RH2

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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About RTX

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing, it services, aerospace product and parts manufacturing and engineering professional services

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

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