AI for QA Teaching Experts

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.

• 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