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Entry Level Artificial Intelligence Research Assistant Jobs

Chapman University

Senior Research Scientist

Orange, CA · On-site

$85K - $90K/yr

Outreach and event organization within the Agency, Intentions, and Artificial Intelligence ... Contribute scientific expertise in workshops, symposia, and talks. * Assist with organization of ...

Chapman University

Senior Research Scientist

Orange, CA · On-site

$85K - $90K/yr

Outreach and event organization within the Agency, Intentions, and Artificial Intelligence ... Contribute scientific expertise in workshops, symposia, and talks. * Assist with organization of ...

RadNet

Research Assistant

Anaheim, CA · On-site

$23 - $24/hr

Responsibilities Artificial Intelligence; Advanced Technology; The very best in patient care. With ... When you join us as a Research Assistant , you will be joining a dedicated team of professionals ...

Sstar

Research Assistant

Fall River, MA

$20 - $22/hr

Fall River, MA Job Level: Entry Level (less than 2 years) Level of Education: BA/BS Job Type ... Our research partnerships provide both professional and intellectual fulfillment through the ...

SSTAR

Research Assistant

Fall River, MA · On-site

$20/hr

Our research partnerships provide both professional and intellectual fulfillment through the ... An entry-level Research Assistant position provides an invaluable foundation for individuals ...

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Entry Level Artificial Intelligence Research Assistant information

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$47.8K

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

As of Aug 19, 2026, the average yearly pay for entry level artificial intelligence research assistant in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What does an entry level artificial intelligence research assistant do?

An Entry Level Artificial Intelligence Research Assistant helps support AI research projects by gathering data, running experiments, and assisting with the development and testing of AI models. They often work under the guidance of senior researchers, helping to review scientific literature, prepare reports, and maintain research documentation. This role is ideal for individuals looking to gain hands-on experience in AI and machine learning while contributing to innovative research.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence research assistant, and why are they important?

To thrive as an Entry Level Artificial Intelligence Research Assistant, you need a solid background in computer science, mathematics, and programming, often supported by a relevant bachelor's degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), Python, and data analysis tools is typically required. Critical thinking, curiosity, and strong written and verbal communication skills help you contribute effectively to research teams and articulate findings. These competencies are essential for supporting advanced AI research, collaborating with team members, and advancing innovative projects.

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

AspectEntry Level Artificial Intelligence Research AssistantData Analyst
Required CredentialsBachelor's in Computer Science, AI, or related field; some roles prefer internshipsBachelor's in Statistics, Data Science, or related field; often requires familiarity with data tools
Work EnvironmentResearch labs, tech companies, academic institutionsBusiness settings, consulting firms, tech companies
Industry UsageAI research, machine learning projects, academic researchData interpretation, reporting, business decision support

While both roles involve working with data and technical skills, an Entry Level Artificial Intelligence Research Assistant focuses on AI-specific research and development, often in academic or research settings. In contrast, a Data Analyst primarily interprets data to inform business decisions. The roles share foundational skills but differ in their focus and application areas.

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What states have the most Entry Level Artificial Intelligence Research Assistant jobs?

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Entry Level Artificial Intelligence Research Assistant jobs near you
Infographic showing various Entry Level Artificial Intelligence Research Assistant job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.

Assistant Professor - Artificial Intelligence Education

New Mexico State University

Las Cruces, NM • On-site

Full-time

Posted 3 days ago

New

New Mexico State University rating

7.3

Company rating: 7.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

337th of 619 rated colleges and universities

Job description

Department Contact: Enrico Pontelli, 575-646-2001, epontell@nmsu.edu
Internal or External Search: External - Open to all applicants
Advertising Summary: New Mexico State University invites applications for two tenure-track Assistant Professor positions in Applied AI (9-month appointments). Faculty will join an interdisciplinary cluster hire and be affiliated with the new Institute for Applied Practice in AI and Machine Learning.
Position Details
Position Title: Assistant Professor - Artificial Intelligence Education
College/Division: Arts and Sciences College
Department: 330500-COMPUTER SCIENCE
Location: Las Cruces
Offsite Location (if applicable):
Target Hourly/Salary Rate: Commensurate with qualification
Appointment Full-time Equivalency: 1.0
FLSA Status: Exempt
Bargaining Unit Announcement: This is NOT a bargaining unit position with American Federation of State, County & Municipal Employees (AFSCME).
Contingent Upon Funding: Not Applicable
Standard Work Schedule: Standard (M-F, 8-5)
If Not a Standard Work Schedule:
Job Duties and Responsibilities: Faculty in this position are expected to:
• Conduct innovative, externally funded research on the teaching, learning and application of artificial intelligence, including AI pedagogy, curriculum design, credentialing, and the study of the most effective ways to teach AI to different audiences (students, professionals, educators, and community members).
• Teach undergraduate and graduate courses in artificial intelligence and its applications, contributing to AI curriculum development across disciplines
• Partner with domain specialists across colleges to design and build curricula that embed AI into disciplinary programs of study.
• Lead the development of microcredentials, certificates, and other flexible credentialing pathways in AI.
• Develop and deliver AI training and workforce development programs for diverse audiences within and beyond the university.
• Advise and mentor students at the undergraduate, master's, and doctoral levels.
• Engage in professional and institutional service, including outreach, committee participation, and strategic initiatives.
• Dedicate a portion of assigned effort to the educational activities of the NMSU Institute for Applied Practice in AI and Machine Learning, and promote NMSU's role as a leader in AI education for the state and region.
Qualifications
Required Education and Experience:Education: Earned Ph.D. in a discipline relevant to the position (e.g., artificial intelligence, computing or computational sciences, learning sciences, education, or a relevant AI applied field, e.g., agriculture or manufacturing) by the time of hire.
Experience:
• Demonstrated expertise as an AI generalist with a primary focus on teaching, AI curriculum development, credentialing, pedagogy, or educational integration of artificial intelligence.
• Evidence of scholarly productivity or high potential for conducting research in educational frameworks, curriculum design, or pedagogical methods related to AI.
• Experience or strong potential for securing external funding to support computing/AI education and program development.
• Demonstrated commitment to excellence in teaching, curriculum development, and student mentoring.
Additional Qualifications:
• Ability to work effectively in a collaborative, multidisciplinary academic environment.
• Preferred experience includes development of microcredentials or professional training programs, integration of AI into non-computing curricula, responsible AI practices, and support of diverse student populations.
Equivalent Qualifications:
Preferred Qualifications:Please submit the following documentation with the application:
-CV
-Statement of Teaching
-Statement of Research
Special Certification/Licensure:
Working Conditions and Physical Effort
Environment: Work is normally performed in a typical interior/office work environment.
Physical Effort: No or very limited physical effort required.
Lifting Requirements: Requires handling of average-weight objects up to 10 pounds or some standing or walking.
Risk: No or very limited exposure to physical risk.

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