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Part Time Qa Jobs in Arizona (NOW HIRING)

AI Data Science Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Annotate data and support quality assurance initiatives for AI training. * Interpret complex ...

Pharmacist - Part Time

Scottsdale, AZ ยท On-site

$58.75 - $70.50/hr

Participating in quality assurance and continuous improvement efforts within the pharmacy ... Ability to work part-time 4-6 hours up to 5 days per week. With a preference for afternoon and ...

Showing results 21-40

Part Time Qa information

See Arizona salary details

$10

$43

$68

How much do part time qa jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for part time qa in Arizona is $43.52, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $57.79 per hour, depending on experience, location, and employer.

What is a part time QA?

Part Time QA (Quality Assurance) jobs involve testing software, products, or processes to ensure they meet certain standards of quality. Unlike full-time QA roles, part-time QA professionals work fewer hours per week, making these positions suitable for students, parents, or those seeking flexible work schedules. Responsibilities typically include executing test cases, reporting bugs, and collaborating with development teams to improve product quality. Part-time QA jobs can be found in various industries, including software development, manufacturing, and customer service.

What are the key skills and qualifications needed to thrive as a part time QA professional?

To thrive as a Part Time QA professional, you need a solid understanding of software testing methodologies, attention to detail, and preferably a background in computer science or a related field. Familiarity with testing tools like Selenium, JIRA, or TestRail and certifications such as ISTQB are often beneficial. Strong communication, problem-solving abilities, and time management skills help you collaborate effectively and ensure thorough testing within limited hours. These competencies are crucial to consistently deliver high-quality products and catch defects early, even on a part-time schedule.

How do part time QA professionals typically collaborate with full-time team members to ensure consistent software quality?

Part-time QA professionals often work closely with full-time QA engineers, developers, and product managers by attending regular stand-up meetings, using shared project management tools, and providing timely feedback on test results. Clear communication is essential, as part-timers may work different hours or days, so documentation and handoffs are crucial for maintaining consistency. Most companies ensure that part-time QA staff are looped in on major updates and included in sprint planning to align testing priorities with the rest of the team.

What is the difference between Part Time Qa vs Part Time Software Tester?

AspectPart Time QaPart Time Software Tester
CredentialsBasic QA certifications, testing knowledgeSimilar certifications, testing skills
Work EnvironmentOffice, remote, or hybridOffice, remote, or hybrid
Industry UsageCommon in tech, manufacturing, healthcarePrimarily in software development and IT
Search & Comparison IntentPeople seeking part-time QA rolesPeople comparing QA and software testing roles

Part Time Qa and Part Time Software Tester roles often overlap in credentials and work environment, especially in tech industries. The main difference lies in scope: QA roles may include broader quality assurance tasks beyond software testing, while software testers focus specifically on testing software products. Both roles are suitable for those seeking flexible, part-time opportunities in quality assurance and software development fields.

What are the most commonly searched types of Qa jobs in Arizona?

The most popular types of Qa jobs in Arizona are:

What cities in Arizona are hiring for Part Time Qa jobs?

Cities in Arizona with the most Part Time Qa job openings:

Infographic showing various Part Time Qa job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 5% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $90,528 per year, or $43.5 per hour.

AI Data Science Expert - Remote

YO AI Labs

Phoenix, AZ โ€ข Remote

$100 - $200/hr

Part-time

Posted 9 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.