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Entry Level Artificial Intelligence Research Jobs

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

... latest research and developments in machine learning and artificial intelligence. • Communicate complex data insights and findings to non-technical stakeholders through visualizations and ...

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

... latest research and developments in machine learning and artificial intelligence. • Communicate complex data insights and findings to non-technical stakeholders through visualizations and ...

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

... latest research and developments in machine learning and artificial intelligence. · Communicate complex data insights and findings to non-technical stakeholders through visualizations and ...

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

... latest research and developments in machine learning and artificial intelligence. · Communicate complex data insights and findings to non-technical stakeholders through visualizations and ...

Chapman University

Senior Research Scientist

Orange, CA

$85K - $90K/yr

The position requires high-level expertise in philosophy, psychology, neuroscience, and artificial intelligence research, with an emphasis on the study of intentions. Key responsibilities include ...

Chapman University

Senior Research Scientist

Orange, CA · On-site

$85K - $90K/yr

The position requires high-level expertise in philosophy, psychology, neuroscience, and artificial intelligence research, with an emphasis on the study of intentions. Key responsibilities include ...

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

As of Sep 8, 2026, the average hourly pay for entry level artificial intelligence research in the United States is $14.60, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $15.14 per hour, depending on experience, location, and employer.

What is entry level artificial intelligence research?

An entry level artificial intelligence (AI) research position typically involves assisting in the development, implementation, and testing of AI models and algorithms under the supervision of more experienced researchers. Duties may include data collection and preprocessing, literature reviews, running experiments, and analyzing results. You may also collaborate with team members to write reports or papers and help improve existing AI systems. This role provides hands-on experience with machine learning frameworks, programming languages like Python, and exposure to real-world AI challenges.

What types of projects can I expect to work on as an entry level artificial intelligence researcher?

As an entry-level AI researcher, you'll typically support ongoing projects by assisting with data collection, cleaning, and analysis, as well as implementing and testing machine learning algorithms under the guidance of senior researchers. Your daily tasks may involve running experiments, monitoring model performance, and collaborating with cross-functional teams such as data engineers and software developers. This hands-on experience will help you build foundational skills and gain exposure to both theoretical and applied aspects of AI, setting the stage for future advancement.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence researcher?

To thrive as an Entry Level Artificial Intelligence Researcher, you need a solid background in computer science, mathematics, and programming, often demonstrated through a bachelor's or master's degree. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience with data analysis and machine learning frameworks is typically required. Strong analytical thinking, curiosity, and effective communication skills set candidates apart in collaborative research environments. These skills ensure you can contribute to innovative AI projects, effectively interpret data, and work well within multidisciplinary teams.

What is the difference between Entry Level Artificial Intelligence Research vs Data Scientist?

AspectEntry Level Artificial Intelligence ResearchData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related field; some internships
Work EnvironmentResearch labs, tech companies, academiaBusiness environments, tech firms, consulting
Employer & Industry UsageResearch-focused roles in AI developmentData analysis, modeling, and decision-making in various industries

Entry Level Artificial Intelligence Research and Data Scientist roles share similar educational backgrounds and work environments. However, AI research focuses more on developing new algorithms and models, while data scientists analyze data to inform business decisions. Both roles are essential in tech and research sectors, but their core responsibilities differ.

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Entry Level Artificial Intelligence Research jobs near you
Infographic showing various Entry Level Artificial Intelligence Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $30,372 per year, or $14.6 per hour.

Researcher - Artificial Intelligence and Machine Learning

San Diego, CA • On-site

University of San Diego
Colleges, Universities, and Professional Schools • 501 - 1,000 employees
Learn more about University of San Diegoexternal

$20 - $40/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

University Of San Diego rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

462nd of 631 rated colleges and universities

Job description

Researcher - Artificial Intelligence and Machine Learning
Posting #: 5708
Position Status: Full-time temporary, Part-time temporary
Location: San Diego
Position Type: Staff, Shiley-Marcos School of Engineering
Position Title & Department:
Researcher - Artificial Intelligence and Machine Learning; School of Engineering
Posting #
5708
Department Description:
The University of San Diego's Shiley-Marcos School of Engineering does more than develop world-class engineers and computer scientists in a nationally recognized program. We help these bright minds develop into Changemakers with the global perspective, social awareness and leadership skills to make a difference in the world.
University Description:
The University of San Diego, an engaged and contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity's urgent challenges.
Detailed Description:
This is a full-time or part-time temporary, benefit-based or non-benefit-based position with an anticipated end date of August 31, 2027. The appointment is renewable at the discretion of the University and dependent upon performance and continued funding.
The University of San Diego's Department of Electrical Engineering is seeking a researcher to contribute to an NSF-funded project focused on data-centric artificial intelligence (AI) and wearable biosensors for enhancing student learning, engagement, and stress management.
The project combines wearable physiological sensing with machine learning and data-centric AI methods to develop reliable models of student engagement and stress and ultimately provide meaningful, data-driven insights for educators.
The researcher will work closely with the Principal Investigator, Dr. Nadieh Moghadam, and other members of the research team.
Duties and Responsibilities:
  • Processing and analyzing physiological signals from wearable biosensors, including heart rate and electrodermal activity (EDA).
  • Developing, implementing, and evaluating machine learning and AI models using public and project-generated datasets.
  • Applying data-centric AI techniques, including data cleaning, feature engineering, augmentation, and multimodal data analysis.
  • Evaluating and working with wearable sensing technologies.
  • Supporting development and evaluation of an adaptive application for translating AI results into actionable insights for instructors.
  • Support human-subject research activities, including participant recruitment, wearable biosensor deployment, physiological data collection during classroom studies, and organization and analysis of collected data in accordance with the approved IRB protocol.
  • Conducting literature reviews and documenting research methods and results.
  • Contributing to research publications, presentations, and dissemination of project findings.
  • Collaborating with undergraduate researchers and other members of the research team.

Special Conditions of Employment:
Background check: Successful completion of a pre-employment background check.
Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes.
Job Requirements:
Minimum Qualifications:
  • Bachelor's degree or higher in Electrical/Computer Engineering, Computer Science, Data Science, Biomedical Engineering, or a related field.
  • Programming experience in Python, MATLAB, or similar environments.
  • Background or demonstrated interest in machine learning, artificial intelligence, signal processing, or data analysis.
  • Strong analytical, communication, and problem-solving skills.
  • Ability to work independently and collaboratively within a research team.

Preferred Qualifications:
  • Experience with machine learning/deep learning frameworks.
  • Experience analyzing physiological or time-series data.
  • Familiarity with wearable sensors, biosignal processing, or data-centric AI.
  • Experience with app/software development or data visualization.
  • Previous research experience and/or scholarly publications.

Posting Salary:
$20.00 - $40.00 per hour; Part-time: Non-Benefit Based / Full-time: Excellent Benefits
The University of San Diego offers a very competitive benefits package including; medical, dental, vision, a retirement contribution given to you by the University, and access to on-campus Fitness Centers. Please visit the benefits section of our website to view all of the perks and benefits that USD has to offer. USD: Human Resources: Benefits
The salary range provided in this posting reflects what we reasonably expect to pay for this position. Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.
Special Application Instructions:
Resume and Cover Letter Required
Click the 'Apply Now' button to complete our online application. In addition, please upload a cover letter and resume to your application profile for the hiring managers' review. If you have any questions or difficulties please contact the Employment Services Team at jobs@sandiego.edu.
Additional Details:
Hours: 19 - 37.5 hours per week, depending on full-time or part-time status
Closing date: Open until filled
Note: External job postings will be up for at least three days. After that time, applications will be reviewed by the hiring manager/committee throughout the posting period. A candidate may be selected at any time which could then close this posting on a date earlier than listed.
The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.
Advertised: September 04, 2026 Pacific Daylight Time
Applications close:
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