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:
Application Review — we evaluate your profile against our current needs
Async Video Interview — a short self-recorded interview (10–15 minutes max)
Test Assignment — approximately 1 hour to complete
Talent Pool — finalists are added to our active roster of vetted experts
Hiring Manager & Tech Expert Call — once a relevant position opens, we invite you to a live interview with our team
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
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.