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Entry Level Computer Science Artificial Intelligence Jobs in Tucson, AZ

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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.

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

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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:

Entry Level Computer Science Artificial Intelligence jobs near you
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.

Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics

Tucson, AZ • On-site

UNIVERSITY OF ARIZONA
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about UNIVERSITY OF ARIZONAexternal

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This job post has expired 1 day ago. Applications are no longer accepted.

University Of Arizona rating

7.4

Company rating: 7.4 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

Job description

Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics

Postdoctoral Research Associate, Electrical Resistivity Tomography and Environmental Geophysics

Posting Number req26727

Department Biosphere 2

Department Website Link https://biosphere2.org/

Location Tucson Campus

Address Tucson, AZ USA

Position Highlights

The Biosphere 2 Landscape Evolution Observatory (LEO) at the University of Arizona seeks an enthusiastic scientist or engineer to lead development and operation of one of the world\'s most advanced environmental Electrical Resistivity Tomography (ERT) observatories.

LEO consists of three instrumented, 330 m² experimental hillslopes designed to study the coupled evolution of hydrology, weathering, ecosystems, and biogeochemistry. The successful candidate will advance ERT as a central observational platform for monitoring water movement, subsurface structure, weathering, root-zone dynamics, and ecosystem development in real time.

The position offers exceptional opportunities to combine environmental geophysics, hydrology, soil science, ecology, geochemistry, and artificial intelligence through collaboration with researchers at Biosphere 2 and across the University of Arizona.

The successful candidate will help answer questions such as:

  • How does rainfall redistribute through evolving landscapes?
  • How do plant roots alter subsurface hydrology?
  • How do weathering and biological activity modify subsurface electrical properties?
  • Can geophysical observations be assimilated into predictive ecosystem digital twins?
  • Can autonomous AI systems optimize environmental monitoring and experimentation?

Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here .

Duties & Responsibilities

  • Lead operation and maintenance of permanent ERT instrumentation within the Landscape Evolution Observatory.
  • Design and execute new ERT experiments supporting rainfall, vegetation, and ecosystem manipulation studies in collaboration with an interdisciplinary science team.
  • Develop automated data acquisition, calibration, and quality assurance workflows.
  • Develop inversion methods for estimating spatial and temporal changes in soil moisture and subsurface properties.
  • Integrate ERT observations with complementary sensor networks and environmental observations.
  • Collaborate on coupling geophysical observations with mechanistic ecosystem, hydrological, and reactive transport models (e.g., EcoSIM, PFLOTRAN, CATHY) a part of the new DOE funded Genesis project at Biosphere 2.
  • Develop new approaches using machine learning and AI to improve inversion, interpretation, and autonomous monitoring.
  • Publish peer-reviewed research and contribute to external funding proposals.
  • Mentor graduate students, undergraduate researchers, and visiting scientists.

Knowledge, Skills, & Abilities:

  • Strong quantitative and analytical skills.
  • Excellent written and oral communication skills.

Minimum Qualifications

  • Ph.D. (or M.S. for Research Technologist) in Geophysics, Hydrology, Geological Engineering, Environmental Engineering, Earth Science, Physics, or related discipline.
  • Experience with Electrical Resistivity Tomography.
  • Programming experience (Python, MATLAB, Julia, or similar).

Preferred Qualifications

  • Experience with time-lapse electrical resistivity tomography (ERT) inversion techniques.
  • Experience in hydrogeophysics.
  • Experience with soil physics and/or vadose-zone hydrology.
  • Experience designing, deploying, or maintaining environmental sensor networks.
  • Experience with reactive transport modeling and/or hydrologic modeling.
  • Experience applying machine learning or artificial intelligence (AI) methods to environmental, hydrologic, or geophysical research.
  • Experience working collaboratively on interdisciplinary field experiments.

FLSA Exempt

Full Time/Part Time Full Time

Number of Hours Worked per Week 40

Job FTE 1.0

Work Calendar Fiscal

Job Category Research

Benefits Eligible Yes - Full Benefits

Rate of Pay NIH salary guidelines, Depends on Experience`

Compensation Type salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required: Name-based criminal background check (non-security sensitive)

Number of Vacancies 1

Target Hire Date

Expected End Date

Contact Information for Candidates Scott Saleska | saleska@arizona.edu

Open Date 8/6/2026

Open Until Filled Yes

Documents Needed to Apply Curriculum Vitae (CV) and Cover Letter

Special Instructions to Applicant

Notice of Availability of the Annual Security and Fire Safety Report In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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