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Rainforest Qa Jobs (NOW HIRING)

$40 - $80/hr

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 ...

QA Manager - you will manage a team of 62 people (36 in QA and 26 in Sanitation). This is a hands ... Rainforest Alliance implementation and compliance is required. Salary - $128-135k, 14% bonus ...

QA Manager - you will manage a team of 62 people (36 in QA and 26 in Sanitation). This is a hands ... Rainforest Alliance implementation and compliance is required. Salary - $128-135k, 14% bonus ...

QA Manager - you will manage a team of 62 people (36 in QA and 26 in Sanitation). This is a hands ... Rainforest Alliance implementation and compliance is required. Salary - $128-135k, 14% bonus ...

Rainforest Qa information

See salary details

$14

$31

$53

How much do rainforest qa jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for rainforest qa in the United States is $31.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $34.86 per hour, depending on experience, location, and employer.

What is a Rainforest QA engineer?

A Rainforest QA Engineer is a professional who specializes in using the Rainforest QA platform to automate and manage software testing processes. They design, write, and execute test cases to ensure the quality and reliability of web applications. Their responsibilities include identifying bugs, collaborating with developers, and improving test coverage by leveraging Rainforest QA’s no-code or low-code testing tools. This role is crucial for maintaining software quality and speeding up the release cycle, especially in agile development environments.

How does the Rainforest QA role typically collaborate with product and development teams to ensure software quality?

As a Rainforest QA specialist, you’ll work closely with both product managers and developers to build a shared understanding of feature requirements and quality benchmarks. Collaboration often includes participating in agile ceremonies, clarifying test cases, and providing real-time feedback on product builds. You’ll also communicate discovered bugs, suggest improvements, and help prioritize fixes, making strong communication and teamwork essential for success in this role.

What are the key skills and qualifications needed to thrive as a Rainforest QA engineer?

To excel as a Rainforest QA Engineer, you need a solid understanding of software testing principles, test case creation, and bug tracking, often supported by experience in manual and automated QA processes. Familiarity with testing tools such as Selenium, Rainforest's own platform, and bug tracking systems like Jira is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you identify issues and collaborate with development teams. These skills are critical for ensuring software quality, quick issue resolution, and seamless product releases.

What is the difference between Rainforest Qa vs Software Tester?

AspectRainforest QaSoftware Tester
CertificationsNone required, but familiarity with testing tools helpsOften requires ISTQB or similar certifications
Work EnvironmentRemote, freelance or contract-basedIn-house or remote, depending on employer
Industry UsageUsed by companies seeking quick, scalable testing solutionsTraditional role in software development teams

Rainforest Qa is a platform offering on-demand testing services, often freelance or contract-based, with minimal certification requirements. In contrast, Software Testers typically work within teams, often with certifications like ISTQB, and may be employed full-time. Both roles focus on software quality assurance but differ in work setup and certification needs.

More about Rainforest Qa jobs
Infographic showing various Rainforest Qa job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $66,371 per year, or $31.9 per hour.

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