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Artificial Intelligence Engineer Part Time Jobs (NOW HIRING)

Rivier University

Affiliated Faculty, Artificial Intelligence

Nashua, NH · On-site

$323K - $403K/yr

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Nashua Job Type: Part-Time Job Number: 202500207 Division: Division of Arts and Sciences Department ... Duties and Responsibilities Rivier seeks to hire Affiliated Faculty in artificial intelligence to ...

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Artificial Intelligence Engineer Part Time information

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How much do artificial intelligence engineer part time jobs pay per year?

As of Aug 15, 2026, the average yearly pay for artificial intelligence engineer part time in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an artificial intelligence engineer do in a part-time role?

A part-time Artificial Intelligence (AI) Engineer designs, develops, and implements AI models and systems, typically on a limited weekly schedule. They work on tasks such as data preprocessing, building machine learning algorithms, and integrating AI solutions into existing products or services. These engineers often collaborate remotely, manage smaller projects, or provide specialized expertise on a flexible basis. The part-time nature of the role allows organizations to leverage AI talent without the commitment of a full-time hire, making it ideal for short-term projects or startups.

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

To thrive as a Part-Time Artificial Intelligence Engineer, you need a strong foundation in computer science, mathematics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and cloud platforms (e.g., AWS, Azure) is typically essential, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, clear communication, and adaptability are crucial soft skills for collaborating on diverse projects and explaining complex concepts to non-experts. These skills and qualities are important to efficiently develop, deploy, and support AI solutions in dynamic, time-constrained environments.

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

AspectArtificial Intelligence Engineer Part TimeData Scientist Part Time
Required CredentialsBachelor's in CS, AI, or related; certifications in AI/MLBachelor's in CS, Statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, startups, research labsBusiness, finance, healthcare sectors
Employer & Industry UsageDevelop AI models, algorithms, and systemsAnalyze data, build predictive models, interpret data

Both roles often require similar educational backgrounds and certifications, with AI Engineers focusing on developing AI systems and Data Scientists analyzing data to inform decisions. While AI Engineers work more on building and deploying AI models, Data Scientists interpret data insights. Both roles are in tech-driven industries and may overlap in skills and tools used.

How do artificial intelligence engineers typically balance project demands with part-time schedules, and what strategies help ensure successful collaboration with full-time team members?

As a part-time Artificial Intelligence Engineer, effective communication and time management are key to balancing your workload. You'll often work on specific modules or components within larger AI projects, coordinating closely with full-time engineers, data scientists, and product managers. Regular check-ins, clear documentation of your progress, and leveraging collaborative tools (like version control and project management platforms) help maintain alignment and productivity. Emphasizing transparency around your availability and proactively updating the team can mitigate potential challenges and foster a supportive work environment.
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Artificial Intelligence Engineer Part Time jobs near you
Infographic showing various Artificial Intelligence Engineer Part Time job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming

University of San Diego

San Diego, CA • On-site

$40 - $44/hr

Part-time

Re-posted 20 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

458th of 618 rated colleges and universities

Job description

Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming
Posting #: 5233
Position Status: Faculty, Part-time temporary
Location: San Diego
Position Type: Faculty, Continuing Education
Position Title & Department:
Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming
Posting #
5233
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:
The University of San Diego's Professional and Continuing Education department is seeking an adjunct faculty member with mastery in the application of artificial intelligence for coding and programming for business solutions. This role involves teaching and developing online courses as part of our Artificial Intelligence for Business Solutions program. The program includes twelve courses, each worth 1 unit. Courses are delivered in an online, self-paced format, with students having six months to complete each four-week course.
Job Duties and Responsibilities:
  • Teaching: Delivering course content, assessing student progress through formal and informal assessments, holding office hours, meeting deadlines for submitting grades and attendance, and adhering to safety procedures and departmental standards.
  • Development: Collaborating with the Learning Design Team to create and develop courses in our learning management system, ensuring timely delivery of course materials.

Work Mode: Entirely remote
Work Schedule: Online as needed
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:
Specific Required Skills:
  • Proficiency in programming languages such as Python, Java, and R.
  • Expertise in machine learning algorithms and data structures.
  • Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Ability to develop and implement AI models for business applications.
  • Knowledge of cloud computing platforms (e.g., AWS, Azure) for deploying AI solutions.
  • Strong analytical and problem-solving skills.
  • Familiarity with data preprocessing and visualization techniques.
  • Understanding of ethical considerations in AI and data privacy.

Required Qualifications:
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (e.g., Mathematics with a focus on algorithms, data structures, and programming languages such as Python, Java, and R).
  • Working knowledge of generative AI techniques.
  • Minimum of two years of full-time professional experience in AI, coding, and programming.

Preferred Qualifications:
  • Experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineering, Data Management, and Analysis.
  • Cloud computing experience.
  • Familiarity with the Canvas learning management system.

Eligibility:
  • Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position.

Posting Salary:
$40-44/hour
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:
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.
Contact: Andrew Drotos, adrotos@SanDiego.edu
If you have any technical questions or difficulties please contact the Employment Services Team at jobs@sandiego.edu.
Additional Details:
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: May 02, 2025 Pacific Daylight Time
Applications close:
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