Part-time Experts - AI for QA (B2B, Nebius Academy)

DescriptionNebius 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 needsAsync Video Interview — a short self-recorded interview (10–15 minutes max)Test Assignment — approximately 1 hour to completeTalent Pool — finalists are added to our active roster of vetted expertsHiring Manager & Tech Expert Call — once a relevant position opens, we invite you to a live interview with our teamOffer — we extend an offer for a relevant position upon successful completion of the processApply now — we review applications on an ongoing basis.Please submit your resume in English.What You Will DoAvailable RolesEducationWe 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 domainsInstructorYou will lead live, hands-on training sessions for experienced QA engineers, helping them integrate AI-assisted testing tools into their real workflows.Conduct live, interactive training sessions and workshopsPrepare practical workshop scenarios and training materials in collaboration with our Instructional DesignerDevelop reusable materials: test scripts, prompt libraries, challenge tasks, and reference guidesWork with the curriculum team to ensure alignment between asynchronous and live contentCommunicate with students during Q&A sessionsReview and incorporate learner feedback to continuously improve session designAuthorYou will create the core educational content for our QA courses — from structure and learning objectives to lessons, assessments, and final projects.Collaborate with us to define the course structure and learning objectives for each moduleCreate clear, concise, and comprehensive content: lessons, manuals, guides, session outlines, and assessmentsPrepare content in multiple formats: text, draft slides, and screencastsParticipate as a speaker in learning videosDesign the final project for the courseWork iteratively with instructional designers to improve content qualityEnsure all content meets industry standards and aligns with course objectivesContribute to content updates based on student feedback analysisOptional: participate as an instructor in live sessions — compensated separatelySubject Matter ExpertYou will shape the strategic direction of our QA curriculum, ensuring our programs reflect real industry needs and cutting-edge AI trends in quality engineering.Define topic priorities for AI-assisted QA learning programs targeting QA engineers, automation engineers, and adjacent technical rolesDecompose QA and AI skills into competency maps, mastery frameworks, and learning roadmapsReview course structures and content for technical accuracy, practical relevance, and alignment with learning outcomesAct as an internal authority for the Curriculum team — translating market needs and AI trends in QA into program strategySupport the selection and evaluation of external authors and expertsMonitor AI tools and emerging QA workflows; convert insights into recommendations for new or updated programs⌛ All roles are part-time: 10–15 hours per week.RequirementsSubject Matter ExpertStrong hands-on technical expertise in QA engineering, test automation, or AI-assisted quality engineeringAbility to evaluate real-world AI/QA tools, testing architectures, and workflows — and distinguish practical approaches from hypeExperience structuring complex QA knowledge into competency maps, frameworks, skill decompositions, or curriculum logicAbility to review technical learning content critically and provide clear, structured feedback to authors and internal stakeholdersSeniority level that allows autonomous work after onboarding, with strong ownership and minimal supervisionStrong communication skills and ability to explain complex technical topics clearly to mixed stakeholdersAvailability to collaborate within European time zonesFluent English (written and spoken); Russian or Spanish is a strong plusAuthor5+ years of professional experience in QA engineering, with a strong focus on mobile QA (Android / iOS) or test automationSolid knowledge of one or more of the following: Kotlin, Swift, Java, Python, JavaScript/TypeScriptHands-on experience with AI-assisted QA tools — including Cursor (daily use), testRigor, Magic Inspector, Rainforest QA, MCP ecosystem integrations, agentic workflows, or similar — with real implementation cases and measurable impactProven track record in engineering advocacy, tech leadership, conference speaking, or mentoringStrong desire to share knowledge and explain complex concepts in a clear, comprehensible wayAbility to work independently and take ownership of a content areaStrong attention to detailAvailability to dedicate approximately 10 hours per week to collaborationFluent English (written and spoken); Russian or Spanish is a strong plusInstructor5+ years of experience in QA engineering, with a strong focus on mobile QA (Android / iOS) or test automationSolid knowledge of one or more of the following: Kotlin, Swift, Java, Python, JavaScript/TypeScriptHands-on experience with AI-assisted QA tools — including Cursor (daily use), testRigor, Magic Inspector, Rainforest QA, MCP ecosystem integrations, agentic workflows, or similar — with real implementation cases and measurable impactAbility to translate complex QA concepts into actionable, engaging learning experiences for professional audiencesConfident, collaborative, and audience-oriented facilitation styleBackground in QA advocacy, tech leadership, or engineering mentorship is a strong plusStrong preparation habits and time management; able to commit 10–15 hours per weekFluent English (written and spoken); Russian or Spanish is a strong plusWhat We Can Offer YouThe opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current roleCompetitive 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 micromanagementCross-cultural experience: Become part of an international team and connect with professionals from diverse backgroundsMeaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational contentParticipation in innovative projects: Contribute to shaping the future of programming education and AI adoptionProfessional growth: Receive feedback and develop your skills as a technical content creator and thought leader