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Artificial Intelligence Engineer Part Time Jobs (NOW HIRING)

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Artificial Intelligence Engineer Part Time information

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$36.5K

$107.3K

$137.5K

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

As of Sep 2, 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.

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.

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.

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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.

Instructor, BAT Artificial Intelligence - Adjunct Pool

Houston Community College

Houston, TX โ€ข On-site

Part-time

Re-posted 6 days ago


Job description

SUMMARY
Provide the expertise and knowledge that support the college curriculum and programs. Establish courses following accepted higher education standards, teach students using a variety of effective methodologies and provide engagement and support activities that encourage student learning. The role of the Instructional Faculty encompasses teaching and learning, academic advising, professional development, and institutional and community service.
The incumbent may teach a maximum load of 9.75 (See Faculty Workload Guidelines) contact hours per week each semester in area(s) of competency and participate as a part-time instructor in the activities of the department, division, and college (See Faculty Workload Guidelines).
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.
1. Teaching:
a) Demonstrate skill and/or knowledge in teaching discipline.
b) Make continuous efforts to improve the quality of instruction by reviewing and utilizing innovative methodologies, techniques, and delivery methods.
c) Develop and use a syllabus for each course or laboratory within college, discipline, and departmental guidelines and submit one copy to the department chair.
d) Plan, develop, and use a variety of teaching methods and materials that assist students in meeting course objectives and which are appropriate for students with differing educational and experiential backgrounds and learning styles.
e) Evaluate students to measure their progress toward achievement of stated course objectives and inform them of their progress in the course in a timely manner.
f) Keep accurate student records and submit related reports and forms within requested timelines. (See Faculty Workload Guidelines)
g) Review, evaluate, and recommend student textbooks and learning materials.
h) Teach courses at a variety of times, locations, and modalities in response to institutional programmatic needs.
i) Develop and maintain an LMS (Learning Management System) shell for each assigned course.
j) Use equipment and facilities responsibly and courteously. Where appropriate, assist the chair with the routine maintenance of instructional laboratories.
k) Demonstrate competence and interest in the use of technology in the classroom and willingness to explore new instructional methodologies.
2. Academic Advising:
a) Maintain professional relationships with students, colleagues, and the community.
b) Provide access to students through posted office hours, electronic communication, and other appropriate methods. Provide advice and assistance to students regarding instructional or program-specific issues during class time and office hours.
3. Professional Development:
a) Establish annual objectives for professional growth in consultation with the department chair.
b) Keep pace with developments in the discipline.
c) Learn technologies that support student learning.
d) Participate in department-required annual evaluation process.
4. Institutional and Community Service:
a) Part-time faculty are encouraged but not required to participate in department, college, or district committees and governance organizations.
b) Be familiar with and adhere to all policies and procedures of HCCS.
c) Participation in activities required to maintain program and college accreditation standards.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform the essential duties and responsibilities listed above. The qualifications listed below are representative of the education, experience, knowledge, skills, and/or abilities required.
EDUCATION
Master's degree (or 18 graduate level hours) in a STEM-related field such as Artificial Intelligence, Data Science, Engineering, Physics, Computer Science, or other related science major required.
Doctorate degree in the aforementioned fields preferred.
Copy of transcript conferring required degree and certifications must accompany application.
EXPERIENCE
3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
Beyond expertise in machine learning, preference will be given to applicants with real-world experience in one or more of the following: virtual systems, operating systems, assembly language, programming languages (esp. C , Python, R, Java, Objective-C, Azure, and/or Swift), cloud computing, reverse engineering, computer networks, information security, digital forensics, risk analysis & mitigation, or policy development. AI industry credentials including AWS, Google preferred.
KNOWLEDGE, SKILLS, AND ABILITIES
1. Willing and able to teach day or evening classes at a number of sites around the city.
2. Knowledge and skill in a variety of computer usage and software are required.
3. Excellent interpersonal skills and the ability to communicate effectively.
4. Possess good organizational and planning skills.
5. Demonstrate sensitivity to students with different academic and socio-economic backgrounds and students with disabilities.
6. Demonstrated ability to inspire and motivate students in a learning-centered environment.
7. Self-disciplined and able to effectively manage others.
This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by their supervisor.
This job description may be revised upon development of other duties and changes in responsibilities.
Additional Information
EEO Statement
Houston City College does not discriminate on the bases of race, color, religion, sex, gender identity and expression, national origin, age, disability, sexual orientation or veteran's status. The following person has been designated to handle inquiries regarding the non-discrimination policies:
Sandra B. Jacobson, J.D., M.Ed., SHRM-SCP, Interim Director of EEO and Compliance & Title IX Coordinator
Office of Equal Opportunity and Title IX
PO Box 667517
Houston TX, 77266
713 718.8271 or hcc.oeotix@hccs.edu
HCC values its employees and their contributions, promotes opportunities for their professional growth and development, and provides a positive working and learning environment that encourages involvement, innovation, and creativity.
Individuals with disabilities, who require special accommodations to interview, should contact (713) 718-8565.