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Part Time Ai Teaching Jobs (NOW HIRING)

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.

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 ...

Part-Time Child Care Teacher

Cartersville, GA · On-site

$13.25 - $17.75/hr

Do you want to shape the future and change the world by teaching little children with love and ... We have an online AI program that will write them for you! Want to learn more? Click 'apply now'

Part-Time Child Care Teacher

Cartersville, GA · On-site

$13.25 - $17.75/hr

Do you want to shape the future and change the world by teaching little children with love and ... We have an online AI program that will write them for you! Want to learn more? Click apply now

Part-Time Child Care Teacher

Cartersville, GA

$13.25 - $17.75/hr

Do you want to shape the future and change the world by teaching little children with love and ... We have an online AI program that will write them for you! Want to learn more? Click 'apply now'

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 ...

Showing results 21-40

Part Time Ai Teaching information

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

As of Jul 24, 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.
More about Part Time Ai Teaching jobs
What cities are hiring for Part Time Ai Teaching jobs? Cities with the most Part Time Ai Teaching job openings:
What are the most commonly searched types of Ai Teaching jobs? The most popular types of Ai Teaching jobs are:
Infographic showing various Part Time Ai Teaching job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $32,572 per year, or $15.7 per hour.
Faculty Fellow (AI)

Faculty Fellow (AI)

University of Colorado

Denver, CO • On-site, Remote

$5.0K/wk

Part-time

Posted 29 days ago


University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

120th of 560 rated colleges and universities


Job description

Position Details
University of Colorado | Denver
Faculty Level/Title: Faculty Fellow 1439 (Fall Semester 2026 and Spring Semester 2027)
Working Title: Faculty Fellow (AI) [OPEN to Current CU Denver rostered faculty members only]
FTE: Part-time (approximately 8-10 hours per week)
Salary: $5,000 stipend or 1 course release per semester
Position #00844382 - Requisition #39748

About the University of Colorado - Denver 
Millions of moments start at CU Denver, a place where innovation, research, and learning meet in the heart of a global city. We're the state's premier public urban research university with more than 100 in-demand, top ranked bachelors, master's, and doctoral degree programs. We partner with diverse learners-at any stage of their life and career-for transformative educational experiences. Across seven schools and colleges, our leading faculty inspires and works alongside students to solve complex challenges and produce impactful creative work. As part of the state's largest university system, CU Denver is a major contributor to the Colorado economy, with 2,000 employees and an annual economic impact of $800 million. To learn more about how CU Denver helps learners meet their moment, visit ucdenver.edu.

Job Description
* Applications are accepted electronically ONLY at www.cu.edu/cu-careers *
The University of Colorado Denver is seeking applications for a rostered faculty member to focus on Artificial Intelligence (AI). This fellow position will focus on operationalizing recommendations from the University's AI Working Group, supporting faculty and staff in integrating AI tools into teaching, research, and administrative processes, and ensuring ethical and effective adoption of AI technologies across the academic enterprise.

Faculty Fellow
What you will do:
    Lead efforts to socialize and implement recommendations from the AI working group.
    Work collaboratively with academic stakeholders across the university to understand and meet the needs for AI tools and professional development.
    Work collaboratively with leaders across the university on the development and implementation of the CU Denver AI strategy.
    Advise the Provost on issues related to AI in higher education, learning, teaching, and research.
    Liaise with OIT regarding AI implementation efforts and supports for schools and colleges.
    Keep up to date with the latest developments in AI and higher education.
    Represent expert faculty voice on AI both internally and externally.

Qualifications you already possess (Minimum Qualifications)
Applicants must meet minimum qualifications at the time of hire.
    Current CU Denver rostered faculty member
    Earned terminal degree in any field or discipline from an accredited institution of higher education
    Demonstrated experience in AI research, development, and/or applications in educational settings.

Knowledge, Skills, and Abilities
    Knowledge of instructional design principles and how AI can enhance teaching and learning.
    Ability to plan, coordinate, and execute AI-related initiatives across departments.
    Competence in using AI tools, learning management systems (LMS), and analytics platforms. 
    Strong ability to explain complex AI concepts to faculty, staff, and students in accessible language. 
    Skilled at working with cross-functional teams (IT, faculty, administration) to integrate AI solutions.
    Ability to align AI initiatives with institutional goals and academic priorities.
    Commitment to staying current with AI trends and best practices in higher education.
    Ability to learn emerging AI technologies and adjust strategies accordingly.

Conditions of Employment
    Term-limited position for Fall 2026, with possible extension to Spring 2027
    Must be a current CU Denver rostered faculty member
    This position follows a hybrid work structure where employees can work remotely or from the office, as needed, based on demands of specific tasks or personal work preferences. Working from the office is encouraged when working on tasks that require a high degree of collaboration.

Mental, Physical, and/or Environmental Requirements 
    The ability to sit for extended periods, stand and walk occasionally, reach with hands and arms, use hands to manipulate a keyboard and mouse, and have good near vision for computer work; often requiring minimal lifting, but may involve bending or reaching to retrieve items from shelves or drawers.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
The University will provide reasonable accommodation to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at workplaceengagement@ucdenver.edu .

Employment Sponsorship
Please be advised that this position is not eligible now or in the future for visa sponsorship.

Compensation and Benefits
This position includes a one-time administrative stipend of $5,000, payable upon completion of the assignment, or one course release per semester.
The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to internal equity, experience, education, specialty, and training.
The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
This position is not eligible for overtime compensation.
Your total compensation goes beyond the number on your paycheck. The University of Colorado Denver provides generous leave, health plans and retirement contributions that add to your bottom line.
Benefits statement to include in all benefits-eligible positions. See Eligibility Matrix.
Benefits: https://www.cu.edu/employee-services/benefits
Total Compensation Calculator: http://www.cu.edu/node/153125

Application Deadline
    Applications will be accepted until the position is filled. Preference will be given to complete applications received by May 15, 2026. Those who do not apply by this date may or may not be considered.

Required Application Materials:
To apply, please visit: http://www.cu.edu/cu-careers and attach:
    A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position. 
    Curriculum vitae / Resume outlining experience(s). 
    Three professional references including name, address, phone number (mobile number if appropriate), and email address. (We will notify you prior to contacting both on and off-list references).

Questions should be directed to Phillip De Leon, PHILLIP.DELEON@UCDENVER.EDU

Background Check Policy
The University of Colorado Denver strives to maintain a safe and productive educational, clinical, research and employment environment. All prospective employees and current employees must, therefore, consent to and pass background checks prior to any final appointment/employment.


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