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How much do part time artificial intelligence neuroscience jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for part time artificial intelligence neuroscience in the United States is $60.25, according to ZipRecruiter salary data. Most workers in this role earn between $51.44 and $65.62 per hour, depending on experience, location, and employer.

What is a part time artificial intelligence neuroscience professional?

Part-time artificial intelligence neuroscience jobs involve working on research or projects at the intersection of AI and neuroscience, but with fewer hours than a full-time position. These roles may include tasks like analyzing neural data using machine learning, developing AI models inspired by brain function, or assisting with neuroscience experiments that use AI tools. Part-time positions are often available in academic labs, research institutes, or tech companies, and can be ideal for students, professionals seeking additional experience, or those balancing other commitments. The responsibilities and requirements vary, but typically require knowledge in both neuroscience and artificial intelligence concepts.

What are the key skills and qualifications needed to thrive as a part time artificial intelligence neuroscience professional?

To excel in a Part Time Artificial Intelligence Neuroscience role, you need a background in neuroscience, data analysis, and machine learning, typically supported by a relevant degree or research experience. Familiarity with programming languages like Python, AI frameworks (such as TensorFlow or PyTorch), and neuroimaging analysis tools is often required. Strong analytical thinking, curiosity, and effective communication are important soft skills for collaborating in interdisciplinary research. These skills enable you to bridge neuroscience and AI, fostering innovative solutions and meaningful research outcomes.

How does a part time artificial intelligence neuroscience professional typically collaborate with interdisciplinary teams?

In a part-time Artificial Intelligence Neuroscience role, professionals often work closely with neuroscientists, data analysts, and software engineers to design and implement AI models that analyze complex neural data. Effective communication is key, as team members come from diverse backgrounds and contribute unique expertise. Regular meetings and collaborative platforms help ensure that project goals align and that AI solutions accurately address neuroscience research questions. Flexibility and proactive engagement are essential, especially when balancing part-time hours with project milestones.

What is the difference between Part Time Artificial Intelligence Neuroscience vs Part Time Data Scientist?

AspectPart Time Artificial Intelligence NeurosciencePart Time Data Scientist
Required CredentialsBackground in AI, neuroscience, or related fields; often requires a master's or PhDDegree in data science, statistics, or computer science; often requires a master's or PhD
Work EnvironmentResearch labs, universities, tech companies focusing on AI and neuroscience projectsTech firms, research institutions, or consulting firms analyzing data sets
Employer & Industry UsageResearch institutions, biotech, AI startups, academiaTech companies, finance, healthcare, marketing

Both roles often require advanced degrees and involve data analysis, but AI Neuroscience focuses on applying AI techniques to neuroscience research, while Data Scientists analyze diverse data sets across industries. The choice depends on your interest in neuroscience versus broader data analysis applications.

What are the most commonly searched types of Artificial Intelligence Neuroscience jobs?

The most popular types of Artificial Intelligence Neuroscience jobs are:

Part Time Artificial Intelligence Neuroscience jobs near you
Infographic showing various Part Time Artificial Intelligence Neuroscience job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $125,316 per year, or $60.2 per hour.

Adjunct Faculty in Artificial Intelligence

DePaul University

Chicago, IL • On-site

Full-time, Part-time

Re-posted 12 days ago

DePaul University rating

7.2

Company rating: 7.2 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

385th of 620 rated colleges and universities

Job description

Description
DePaul's Jarvis College of Computing & Digital Media (CDM) is located in the heart of Chicago's Loop, the central business district of Chicago. Our students represent many different experiences, perspectives, and cultures, and the university strives to recruit and sustain a faculty community where all backgrounds are valued and supported. Part-time teaching positions are available throughout the academic year, including summer sessions. Academic course schedules fluctuate from quarter to quarter, and the college will work with selected individuals to determine a quarterly schedule. Courses are not guaranteed, however the college does its best to give ample notice about available courses. Applicants with expertise that matches course scheduling needs will be contacted for an interview.
The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx.
Qualifications
Minimum requirements include a master's degree in the discipline, or 18 semester/27 quarter hours of graduate work in the discipline, or an undergraduate degree with a minimum of five years demonstrated relevant professional experience. Exceptions may be considered with approval of the dean.
Application Instructions
The School of Computing offers a MS in Artificial Intelligence degree. At the end of the degree, students will be able to design and implement complex intelligent systems and integrate AI techniques into existing applications and processes. Students take courses in core AI concepts and techniques and explore relevant technical areas including natural language processing, big data systems, computer vision, image processing, robotics, and cybersecurity. We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.
Considerations:
Exceptions to standard rates may apply to courses with unique credit hours, supervision, labs, clinical/practicum courses, coaching, administrative tasks, and courses that are either over-enrolled or under-enrolled.
General Compensation/Benefits Statement:
DePaul University has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The salary offered to the selected candidate will be determined based on factors such as (but not limited to) the qualifications, education, experience, and training of the selected candidate, the scope and responsibilities of the position, departmental budget availability, internal salary equity considerations, and available market information.
DePaul University offers a variety of benefit options for qualified part-time employees. Further information regarding benefits can be found here: https://offices.depaul.edu/human-resources/benefits/part-time/Pages/default.aspx
About DePaul University's Academic Calendar:
Except for the College of Law, DePaul University operates on a quarter system. Classes in Autumn, Winter, and Spring quarters are 11 weeks in length (including finals week) and Summer courses, in two sessions, are typically 5 weeks in length. The College of Law operates on the semester system. Classes in the Fall and Spring semesters are 16 weeks in length (including finals week) and it offers a Summer Session of 7 weeks (including final exams).

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