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

As of Aug 20, 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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Infographic showing various Part Time Artificial Intelligence Testing job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $96,666 per year, or $46.5 per hour.

Adjunct Faculty in Artificial Intelligence

DePaul University

Chicago, IL • On-site

Full-time, Part-time

Re-posted 12 days ago


DePaul University rating

7.2

Company rating: 7.2 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

385th of 620 rated colleges and universities


Job description

Description
DePaul's Jarvis College of Computing & Digital Media (CDM) is located in the heart of Chicago's Loop, the central business district of Chicago. Our students represent many different experiences, perspectives, and cultures, and the university strives to recruit and sustain a faculty community where all backgrounds are valued and supported. Part-time teaching positions are available throughout the academic year, including summer sessions. Academic course schedules fluctuate from quarter to quarter, and the college will work with selected individuals to determine a quarterly schedule. Courses are not guaranteed, however the college does its best to give ample notice about available courses. Applicants with expertise that matches course scheduling needs will be contacted for an interview.
The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx.
Qualifications
Minimum requirements include a master's degree in the discipline, or 18 semester/27 quarter hours of graduate work in the discipline, or an undergraduate degree with a minimum of five years demonstrated relevant professional experience. Exceptions may be considered with approval of the dean.
Application Instructions
The School of Computing offers a MS in Artificial Intelligence degree. At the end of the degree, students will be able to design and implement complex intelligent systems and integrate AI techniques into existing applications and processes. Students take courses in core AI concepts and techniques and explore relevant technical areas including natural language processing, big data systems, computer vision, image processing, robotics, and cybersecurity. We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.
Considerations:
Exceptions to standard rates may apply to courses with unique credit hours, supervision, labs, clinical/practicum courses, coaching, administrative tasks, and courses that are either over-enrolled or under-enrolled.
General Compensation/Benefits Statement:
DePaul University has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The salary offered to the selected candidate will be determined based on factors such as (but not limited to) the qualifications, education, experience, and training of the selected candidate, the scope and responsibilities of the position, departmental budget availability, internal salary equity considerations, and available market information.
DePaul University offers a variety of benefit options for qualified part-time employees. Further information regarding benefits can be found here: https://offices.depaul.edu/human-resources/benefits/part-time/Pages/default.aspx
About DePaul University's Academic Calendar:
Except for the College of Law, DePaul University operates on a quarter system. Classes in Autumn, Winter, and Spring quarters are 11 weeks in length (including finals week) and Summer courses, in two sessions, are typically 5 weeks in length. The College of Law operates on the semester system. Classes in the Fall and Spring semesters are 16 weeks in length (including finals week) and it offers a Summer Session of 7 weeks (including final exams).

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