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Part Time Remote Software Qa Jobs (NOW HIRING)

$40 - $80/hr

Our QA curriculum focuses on AI-assisted quality engineering: how to use modern AI tools to write ... for flexible part-time collaboration with significant impact and an amazing team! * Remote ...

Description MATRIX is seeking a part-time QA/QC Specialist that inspects materials and products ... Remote 20 hours a week. Travel to site in WA every other week. ESSENTIAL FUNCTIONS ...

We provide high-quality printing services to businesses and individuals across the country. Our ... We are currently seeking a part-time Remote Scheduler to join our team. This is a remote position ...

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Part Time Remote Software Qa information

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How much do part time remote software qa jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for part time remote software qa in the United States is $40.13, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $49.28 per hour, depending on experience, location, and employer.

How much do Netflix QA testers make?

Netflix QA testers typically earn between $50,000 and $80,000 annually, depending on experience and location. As remote positions are common, compensation can vary but generally aligns with industry standards for software quality assurance roles.

How to become a remote QA tester?

To become a remote QA tester, develop skills in software testing, including knowledge of testing tools and scripting languages, and gain experience with bug tracking systems. Certifications like ISTQB can enhance credibility, and strong communication skills are essential for remote collaboration. Building a portfolio of testing projects can also improve job prospects.

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

AspectPart Time Remote Software QaPart Time Remote Software Tester
CredentialsBasic QA certifications, testing tools knowledgeTesting certifications, knowledge of testing methodologies
Work EnvironmentRemote, collaborative with development teamsRemote, independent or team-based testing
Industry UsageCommon in software development companiesUsed across various tech and software firms
Search & Comparison IntentUnderstanding QA roles and responsibilitiesComparing testing roles and job requirements

Part Time Remote Software Qa focuses on quality assurance processes, including test planning and defect tracking, often requiring specific QA certifications. Part Time Remote Software Tester emphasizes executing tests, identifying bugs, and verifying fixes. Both roles are remote and part-time, but QA roles tend to involve more planning and documentation, while testers focus on hands-on testing activities.

How to make $1000 a week remotely?

A part-time remote software QA professional can earn $1000 a week by combining multiple freelance or contract testing projects, leveraging skills in testing tools and bug tracking software. Building a strong portfolio, gaining certifications, and working efficiently on high-paying tasks can help reach this income level, often requiring 20-30 hours of work weekly depending on project rates.

How to make 2000 a week working from home?

A part-time remote software QA professional can increase earnings by taking on multiple projects, working flexible hours, and developing specialized skills such as automation testing or scripting. Building a strong reputation and leveraging freelance platforms can also help secure higher-paying contracts to reach a weekly income of $2000.
What cities are hiring for Part Time Remote Software Qa jobs? Cities with the most Part Time Remote Software Qa job openings:
What are the most commonly searched types of Remote Software Qa jobs? The most popular types of Remote Software Qa jobs are:
What states have the most Part Time Remote Software Qa jobs? States with the most job openings for Part Time Remote Software Qa jobs include:

AI for QA Teaching Experts

TripleTen

On-site, Remote

$40 - $80/hr

Part-time

Re-posted 7 days ago


Job description

Description
Nebius Academy is an international online learning platform helping engineering teams master AI and cloud technologies. We build hands-on, industry-relevant programs for B2B audiences - combining deep technical expertise with real-world application.
Our QA curriculum focuses on AI-assisted quality engineering: how to use modern AI tools to write smarter tests, automate faster, and build more reliable mobile and backend products.
Who are we looking for?
We are building a talent pool of experienced QA engineers and technical experts for ongoing roles as Instructors, Authors, and Subject Matter Experts in our AI-assisted QA educational program.
We are looking for specialists across the following areas: Kotlin, Swift, Java, Python, JavaScript/TypeScript, Mobile QA (Android / iOS), and other languages with a QA focus.
A strong candidate doesn't just know their stack deeply - they actively use AI-assisted QA tools in their daily workflow. We prioritize hands-on experience with tools such as Cursor, testRigor, Magic Inspector, Rainforest QA, AI-powered test generation, agentic workflows, MCP ecosystem integrations, or similar. The ability to teach others how to integrate these tools into real QA practice is what sets our experts apart.
These are Talent Pool positions - we continuously review applications and build our roster of experts. This means there may not be an immediate opening at the time you apply, but strong candidates will be added to our talent pool and contacted as relevant opportunities arise.
You can join us on a part-time basis (~10-15h/week), contributing as an instructor leading live sessions and workshops, as a course author creating learning materials, or as a subject matter expert supporting curriculum development. Teaching sessions are compensated separately.
Compensation: $40-80/hour, depending on experience and format of collaboration.
Our selection process is fully asynchronous and designed to respect your time:
  1. Application Review - we evaluate your profile against our current needs
  2. Async Video Interview - a short self-recorded interview (10-15 minutes max)
  3. Test Assignment - approximately 1 hour to complete
  4. Talent Pool - finalists are added to our active roster of vetted experts
  5. Hiring Manager & Tech Expert Call - once a relevant position opens, we invite you to a live interview with our team
  6. Offer - we extend an offer for a relevant position upon successful completion of the process

Apply now - we review applications on an ongoing basis.
Please submit your resume in English.
What you will do
Available Roles
We are building a talent pool of Instructors, Authors, and Subject Matter Experts for our AI-assisted QA educational programs. We hire on an ongoing basis across the following specializations:
Most in demand: AI for Manual QA, AI for Automated Testing, AI for Mobile QA (Kotlin / Android / iOS) Also relevant: other languages and QA domains
Depending on your expertise, you may:
  • Deliver live workshops and training sessions
  • Create educational content, assessments, and project-based learning materials
  • Design practical exercises, guides, prompts, and reference resources
  • Help define curriculum structure, learning objectives, and competency frameworks
  • Review content for technical accuracy and industry relevance
  • Share insights on AI tools, workflows, and emerging trends
  • Collaborate with instructional designers and curriculum teams to continuously improve learning outcomes
  • Support program updates based on learner feedback and market needs

Areas of involvement
  • Instructor - leads live sessions, workshops, and learner interactions.
  • Author - creates course content, lessons, assessments, and projects.
  • Subject Matter Expert - shapes curriculum strategy, competency frameworks, and program direction.

All roles are part-time: 10-15 hours per week.
Requirements
  • 5+ years of experience in QA Engineering, with a strong focus on mobile QA (Android/iOS), test automation, or AI-assisted quality engineering
  • Solid knowledge of one or more of the following: Kotlin, Swift, Java, Python, JavaScript/TypeScript
  • Hands-on experience with AI-assisted QA tools such as Cursor, testRigor, Magic Inspector, Rainforest QA, MCP ecosystem integrations, agentic workflows, or similar, with real implementation experience and measurable impact
  • Strong ability to share knowledge through content creation, training, mentoring, or facilitation, making complex QA concepts clear, practical, and engaging for learners
  • Ability to work independently with strong ownership and minimal supervision
  • Strong attention to detail
  • Availability to collaborate within European time zones
  • Ability to dedicate approximately 10-15 hours per week
  • Fluent English (written and spoken); Russian or Spanish is a strong plus
  • Background in QA advocacy, tech leadership, mentoring, conference speaking, or technical community engagement is a plus

Nice-to-have
  • Strong expertise in QA Engineering, Test Automation, or AI-assisted Quality Engineering
  • Ability to evaluate real-world AI/QA tools, testing architectures, and workflows, distinguishing practical approaches from hype
  • Experience creating competency maps, skill frameworks, learning roadmaps, or curriculum structures
  • Ability to review technical learning content and provide structured feedback

What we can offer you
  • The opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current role
  • Competitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!
  • Remote cooperation with a schedule convenient for both you and the team: We don't focus on micromanagement
  • Cross-cultural experience: Become part of an international team and connect with professionals from diverse backgrounds
  • Meaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational content
  • Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption
  • Professional growth: Receive feedback and develop your skills as a technical content creator and thought leader