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

As of May 29, 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 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 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 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 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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Part Time Artificial Intelligence Testing jobs near you
Infographic showing various Part Time Artificial Intelligence Testing job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution, with an average salary of $96,666 per year, or $46.5 per hour.
Part-Time Lecturer - MPS in Applied Machine Intelligence (Boston)

Part-Time Lecturer - MPS in Applied Machine Intelligence (Boston)

NorthEastern

Boston, MA

$1.53K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

About the Opportunity

Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach in the Master or Professional Studies Applied Machine Intelligence, located on-ground and or online in Boston, MA.

The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.

Responsibilities

The Master of Professional Studies in Applied Machine Intelligence is looking for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in the industry.

Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The Applied Machine Intelligence degree is a multi-disciplinary, experience-based program that prepares students to innovate within the rapidly growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in any industry.

Qualifications

Minimum qualification: Terminal degree in an aligned discipline and analytics/artificial intelligence industry experience.

Preference for candidates with a Ph.D. in a sciences field or similar.

Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Application Materials

Applicants should submit materials including a cover letter and vitae. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.

Please direct questions to Shachi Winton (s.winton@northeastern.edu).

Applications will be reviewed until the position is filled.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $1,529

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