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Part Time Ai Teaching Jobs (NOW HIRING)

Faculty Fellow (AI) [OPEN to Current CU Denver rostered faculty members only] FTE: Part-time ... tools into teaching, research, and administrative processes, and ensuring ethical and effective ...

Faculty Fellow (AI)

Denver, CO · On-site +1

$5.0K/wk

Faculty Fellow (AI) [OPEN to Current CU Denver rostered faculty members only] FTE: Part-time ... Advise the Provost on issues related to AI in higher education, learning, teaching, and research.

Adjunct (part-time) faculty members teaching on a regular basis are required to participate in ... AI or other related courses. Experience * Preference will be given to applicants with prior ...

Part time Assistant Teacher

Franklin, MA · On-site

$22 - $25.73/hr

The Assistant Teacher position provides a rewarding work environment for those who want to make a ... Notice Regarding Initial Interviews At Amego Inc., we leverage AI-powered interview technology to ...

Part time Assistant Teacher

Franklin, MA · On-site

$22 - $25.73/hr

The Assistant Teacher position provides a rewarding work environment for those who want to make a ... Notice Regarding Initial Interviews At Amego Inc., we leverage AI-powered interview technology to ...

Do you enjoy experimenting, teaching others, and translating new technology into real, usable ... This role may be full-time or part-time , depending on experience and qualifications. What We're ...

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Part Time Ai Teaching information

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How much do part time ai teaching jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for part time ai teaching in the United States is $15.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $17.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part-Time AI Teaching professional, and why are they important?

To thrive as a Part-Time AI Teaching professional, you need a solid understanding of artificial intelligence concepts, teaching experience, and often at least a bachelor's degree in a related field. Familiarity with educational platforms, learning management systems (LMS), and AI development tools such as Python or TensorFlow is typically required. Strong communication, adaptability, and the ability to engage and motivate students are essential soft skills. These competencies ensure effective instruction, student engagement, and the ability to convey complex topics clearly in a part-time capacity.

What is a Part Time AI Teaching job?

A Part Time AI Teaching job involves instructing students or professionals about artificial intelligence concepts, tools, and applications on a part-time basis. This role may include preparing lessons, conducting classes or workshops, grading assignments, and providing support to learners. These positions can be found in schools, universities, online education platforms, or training centers. Part-time AI teachers typically work flexible hours and may specialize in topics such as machine learning, neural networks, or data science. The role requires a strong understanding of AI and effective communication skills to help students grasp complex topics.

What are some common challenges faced by part-time AI teaching professionals, and how can they be managed?

Part-time AI teaching professionals often face challenges such as limited time to interact with students, balancing curriculum delivery within fewer hours, and staying current with rapidly evolving AI technologies. To manage these, it's helpful to prioritize clear communication, use digital tools for asynchronous support, and actively participate in professional development opportunities. Collaborating with full-time faculty and leveraging shared resources can also make it easier to provide a rich learning experience despite time constraints.
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Infographic showing various Part Time Ai Teaching job openings in the United States as of June 2026, with employment types broken down into 15% Full Time, and 85% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $32,572 per year, or $15.7 per hour.
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO

Part-time

Posted 27 days ago


Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

28th of 544 rated colleges and universities


Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine

Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine

Position Summary

The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professorpositions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.

Primary Responsibilities

Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:

  • Privacy, Ethics, Regulation & Policy

  • Introduction to Artificial Intelligence

  • Predictive Modeling and Machine Learning

  • Image Processing and Deep Learning

  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models

  • Reinforcement Learning for Clinical Decision Making

  • Telehealth & Telemedicine

  • AI for Precision Medicine & Genomics & Diagnostics

  • Research in Medicine

Additional responsibilities include:

  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications

Required:

  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.

  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.

  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).

  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:

  • Experience teaching graduate courses in AI, data science, or health informatics.

  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.

  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.

  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details

  • Type:Adjunct, non-tenure track

  • Rank:Assistant or Associate Professor (commensurate with qualifications)

  • Location:Saint Louis University School of Medicine (in-person, hybrid, or online options available)

  • Start Date:Ongoing recruitment for upcoming academic terms

Application Instructions

Interested applicants should submit:

  • A cover letter outlining teaching interests and relevant experience

  • Curriculum vitae (CV)

  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.

Function

Faculty - Adjunct

Scheduled Weekly Hours:

20

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.


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