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Entry Level Artificial Intelligence Research Assistant Jobs

... Research Assistant Position Number 20077256 Vacancy ID S027786 Full-time/Part-time Full-Time ... The ideal candidate will have experience with Artificial Intelligence and Machine Learning. Primary ...

... by assisting with artificial intelligence initiatives, automation projects, and data-driven ... Support department initiatives through research, documentation, and project coordination * Assist ...

... by assisting with artificial intelligence initiatives, automation projects, and data-driven ... Support department initiatives through research, documentation, and project coordination * Assist ...

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Entry Level Artificial Intelligence Research Assistant information

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$25K

$47.8K

$68.5K

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

As of Jul 13, 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 are the typical responsibilities and collaborative tasks for an Entry Level Artificial Intelligence Research Assistant?

As an Entry Level Artificial Intelligence Research Assistant, your daily tasks often include data collection and preprocessing, conducting literature reviews, and supporting the development and evaluation of machine learning models. You will work closely with senior researchers and engineers, assisting in coding experiments, documenting results, and contributing to team meetings. Collaboration is key, as you may be required to coordinate with cross-functional teams such as software engineering, data science, and product management to ensure research aligns with project goals.

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 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.

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.
More about Entry Level Artificial Intelligence Research Assistant jobs
What cities are hiring for Entry Level Artificial Intelligence Research Assistant jobs? Cities with the most Entry Level Artificial Intelligence Research Assistant job openings:
What states have the most Entry Level Artificial Intelligence Research Assistant jobs? States with the most job openings for Entry Level Artificial Intelligence Research Assistant jobs include:
What job categories do people searching Entry Level Artificial Intelligence Research Assistant jobs look for? The top searched job categories for Entry Level Artificial Intelligence Research Assistant jobs are:
Infographic showing various Entry Level Artificial Intelligence Research Assistant job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.
Assistant Professor in Cognitive Science and Artificial Intelligence

Assistant Professor in Cognitive Science and Artificial Intelligence

University of Michigan-Dearborn

Dearborn, MI โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

Description
Job Summary
The University of Michigan-Dearborn invites applications for a faculty position (Assistant Professor) in the area of Cognitive Science and Generative Artificial Intelligence (AI) beginning in August 2026. This is an on-site, full-time tenure-track university appointment, at the level of assistant professor. The position entails a joint appointment in the Psychology Discipline within the Department of Behavioral Sciences in the College of Arts, Sciences, and Letters (CASL) and the Department of Industrial and the Manufacturing Systems Engineering discipline within the College of Engineering and Computer Science (CECS).
AI has contributed to novel opportunities for innovative psychological research and university opportunities for new psychological applications. This rapidly developing research leverages generative AI models to study human cognition and develop applications to promote well-being, accelerate the pace of psychological research, and play a role in clinical services. Students are increasingly interested in AI education, and the next generation of graduates will require AI literacy, familiarity, and capacity to leverage AI within their professional roles.
We invite applications from researchers whose work bridges technical and psychological dimensions of AI systems and applications. While the area of specialization is open, the successful candidate will contribute to the development of interdisciplinary research that bridges psychology, cognitive science, and engineering. They must demonstrate potential for securing external funding for research projects. They will capitalize on the university's AI resources, such as the Dearborn Artificial Intelligence Research Center (DAIR), the Michigan Institute for Data Science (MIDAS), and the Advanced Research Computing (ARC). The successful candidate will also have opportunities for collaboration with AI Labs on campus.
Tenure track faculty teach a 2-2 course load. The successful candidate will be expected to develop a new course focusing on AI and Cognitive Science, and will teach courses in Cognitive Psychology, Research Design, or Statistics. The faculty member will teach one course annually for CECS focusing on Human-Centered AI, AI and Ethics, or Research Methods. The position also involves supervising undergraduate and graduate student research projects, honors theses, or master's theses in both Psychology and CECS.
Campus and Community Information
The University of Michigan-Dearborn was founded in 1959 on 200 acres of the original Henry Ford Estate in Dearborn, Michigan. As one of the three campuses of the University of Michigan, we serve over 8,000 students and provide high-quality undergraduate, graduate, professional, and continuing education programs that embody the prestige of the University of Michigan name. Our mission is rooted in commitment to the well-being and diversity of Metro Detroit, fostering a caring, dynamic, intellectual, and socially welcoming environment.
We distinguish ourselves by building and nurturing intentional, mutually beneficial partnerships with local industries, governments, and community organizations. Our faculty are recognized for their excellence in scholarship and teaching and are actively engaged in professional and academic service. UM-Dearborn offers ample opportunities for creative, collaborative research, practice-based learning, and community engagement through scholarly and educational partnerships.
Faculty have the privilege to work closely with their students, 47% of whom are first-generation college students, 46% Pell grant eligible, and 31% students of color. The average class size is 25 students, and 69% of classes have fewer than 30 students. U.S. News & World Report consistently ranks UM-Dearborn among the best regional universities in the Midwest. In 2024, UM-Dearborn was ranked the number one regional public university in Michigan and third in the Midwest. The university is also recognized on Forbes' list of America's Top Colleges. For more information, please visit our website at www.umdearborn.edu.
Dearborn is a vibrant and diverse community, centrally located within one of America's largest business regions. The area provides a variety of urban, suburban, and rural environments within a reasonable commute, including Detroit, its suburbs, and Ann Arbor.
Qualifications
Required: A Ph.D. or equivalent degree in Psychology, Cognitive Science, or a closely related field with demonstrated expertise at the intersection of AI and behavioral sciences.
Preferred: A record of research productivity, a clear research agenda, evidence of teaching effectiveness at the university level, and a commitment to fostering an inclusive and diverse learning environment. Experience in securing or potential for securing external grant funding is highly desirable.
Application Instructions
Applicants should send a letter of intent, curriculum vitae, a statement of teaching philosophy and experience, evidence of teaching performance, a statement of research experience and interest, samples of representative papers, and three letters of recommendation.
The review of applications will begin on November 15th, 2025 but applications will be accepted until the position is filled.
All applications must be submitted via Interfolio; applications submitted through careers.umich.edu will not be reviewed.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act. information, call 734-764-1817.
Contact Information
If you have questions about this position, application requirements, or the application process please email Caleb Siefert at csiefert@umich.edu.