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Part Time Artificial Intelligence Testing Jobs (NOW HIRING)

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Part Time Artificial Intelligence Testing information

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$57

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

As of Sep 13, 2026, the average hourly pay for part time artificial intelligence testing in the United States is $46.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $50.96 per hour, depending on experience, location, and employer.

What is part time artificial intelligence testing?

Part time artificial intelligence (AI) testing involves evaluating AI systems, tools, or algorithms to ensure they are functioning correctly and meeting performance standards, but on a reduced or flexible schedule rather than full-time. This role may include tasks like running test cases, identifying bugs, reporting errors, and providing feedback on AI outputs. Part time AI testers often work remotely and may be involved in testing chatbots, machine learning models, or other smart software. The job is ideal for those with limited availability but an interest in technology and quality assurance. It typically requires a keen eye for detail, analytical skills, and sometimes basic knowledge of AI concepts.

What types of projects or tasks can I expect to work on in a part-time artificial intelligence testing role?

In a part-time Artificial Intelligence Testing position, you’ll typically work on evaluating AI models, designing and executing test cases, and identifying issues like bias or inaccuracies in AI outputs. Your daily tasks may include annotating data, running automated tests, and collaborating with data scientists and developers to improve model performance. The work environment is often flexible, with remote options and a strong focus on detail-oriented, independent work. You may also participate in regular team meetings to share feedback and discuss improvements, making communication and adaptability important in this role.

What are the key skills and qualifications needed to thrive as a part time artificial intelligence testing professional, and why are they important?

To thrive as a Part Time Artificial Intelligence Testing professional, you need a foundational understanding of AI concepts, data analysis, and software testing, often supported by a degree in computer science or related fields. Familiarity with testing frameworks, programming languages like Python, and tools such as TensorFlow, Jupyter Notebooks, or Selenium is common. Attention to detail, analytical thinking, and effective communication help testers identify issues and collaborate with development teams. These skills ensure accurate evaluation of AI systems, leading to robust, reliable, and ethical AI solutions.

What is the difference between Part Time Artificial Intelligence Testing vs Part Time Data Annotation?

AspectPart Time Artificial Intelligence TestingPart Time Data Annotation
Required CredentialsBasic understanding of AI concepts, sometimes certifications in AI or related fieldsBasic computer skills, attention to detail, sometimes certifications in data labeling
Work EnvironmentRemote or on-site, collaborative with AI development teamsRemote or on-site, often individual work focused on labeling data
Employer & Industry UsageTech companies, AI startups, research institutionsTech companies, data service providers, AI industry
Search & Comparison IntentUnderstanding roles in AI testing and evaluationComparing data labeling and annotation tasks in AI projects

Part Time Artificial Intelligence Testing involves evaluating AI models for accuracy and performance, often requiring some understanding of AI concepts. Part Time Data Annotation focuses on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in their specific tasks and skill requirements.

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For Part Time Artificial Intelligence Testing jobs, the most frequently searched job titles are:

Infographic showing various Part Time Artificial Intelligence Testing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $96,666 per year, or $46.5 per hour.

Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions

San Diego, CA • On-site

University of San Diego
Colleges, Universities, and Professional Schools • 501 - 1,000 employees

$40 - $44/hr

Full-time, Part-time

Re-posted 16 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


Job description

Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions

Apply now Posting #: 5037
Position Status: Faculty, Part-time temporary
Location: San Diego
Position Type: Faculty, Continuing Education

Position Title & Department:

Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions Posting #

5037

University Description:

The University of San Diego, a contemporary and engaged 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, Professional and Continuing Education is looking for an adjunct faculty member to teach and/or develop online classes in our Artificial Intelligence for Business Solutions program.  The program will consist of eight 1-unit courses. These courses are offered in the online self-paced format and students have 6 months to complete it.  Each of these eight courses will be four weeks in length.

The University of San Diego is committed to enriching the educational experience it offers through the diversity of its faculty, administrators, and staff members. The college seeks to recruit and support a broadly diverse team who will contribute to the college's excellence, diversity of viewpoints and experiences, embrace concepts of equity and inclusiveness and support the equal rights of all people by advancing the understanding and appreciation of differences including age, race, gender, ability, religious convictions, socio-economic status, ethnic heritage, or sexual orientation.

While we appreciate your interest in employment with the University of San Diego, 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 any position.

Job Duties and Responsibilities:

Teaching responsibilities include teaching, assessing student progress in meeting the learning objectives through formal and informal assessment, holding office hours, meeting required deadlines for submitting grades, attendance, and other information, as requested, and adhering to safety procedures and departmental standards.  Development responsibilities include working with the Learning Design Team to create and develop the course in our learning management system while meeting agreed upon deliverable dates.

Work Mode: This position is entirely remote.

Work Schedule: Online as Needed

Special Conditions of Employment:

Effective June 1, 2023, based on CDC guidance, the University strongly encourages all campus members to stay up to date with Influenza and COVID-19 vaccination recommendations.  For more regarding information USD's COVID-19 protocols, please visit sandiego.edu/onward.

Background check:  Successful completion of a pre-employment background check.

Job Requirements:

Required Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. (Such as mathematics; with an emphasis on algorithms, data structures, and programming languages like Python.)  Working knowledge of generative AI techniques, such as GANs and VAEs is a plus.  A minimum of two (2) years of full-time professional experience in these areas is required.

Preferred Qualifications:

Prior experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineer, Data Analysis preferred.

Experience with the Canvas learning management system is a plus.

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:

Resume and Cover Letter Required

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 five 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 an equal opportunity employer committed to diversity and inclusion and is especially interested in candidates who can contribute to the diversity and excellence of the campus community.
The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.

Advertised: August 08, 2024 Pacific Daylight Time
Applications close:

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