{"id":113919,"url":"https://alion.io/job/tripleten-comblog-ai-for-qa-teaching-experts","title":"AI for QA Teaching Experts","company":{"id":42093,"name":"TripleTen","domain":"tripleten.com","url":"https://alion.io/company/tripleten-comblog","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":{"grade":"A","score":87,"open_postings":49,"ghost_share":0,"stale_share":0.429,"repost_share":0.163,"time_to_fill_p50_days":23,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Education","role_family":"Education","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"European time zones","utc_offset_min":0,"utc_offset_max":2},"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":40,"max":80,"currency":"USD","period":"hour","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Cursor","optional":false},{"name":"Instructor","optional":false},{"name":"JavaScript","optional":false},{"name":"Kotlin","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Swift","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-04T12:49:26Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-11-02T19:54:44Z","board_verified":true,"closed_at":null,"days_open":90,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":89},"description":"Description\nNebius 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.\nOur 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.\nWho are we looking for?\nWe 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.\nWe 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.\nA 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.\nThese 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.\nYou 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.\nCompensation: $40-80/hour, depending on experience and format of collaboration.\nOur selection process is fully asynchronous and designed to respect your time:\nApplication Review - we evaluate your profile against our current needs\n Async Video Interview - a short self-recorded interview (10-15 minutes max)\nTest Assignment - approximately 1 hour to complete\nTalent Pool - finalists are added to our active roster of vetted experts\nHiring Manager & Tech Expert Call - once a relevant position opens, we invite you to a live interview with our team\nOffer - we extend an offer for a relevant position upon successful completion of the process\nApply now - we review applications on an ongoing basis.\nPlease submit your resume in English.\nWhat you will do\nAvailable Roles\nWe 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:\nMost in demand: AI for Manual QA, AI for Automated Testing, AI for Mobile QA (Kotlin / Android / iOS) Also relevant: other languages and QA domains\nDepending on your expertise, you may:\nDeliver live workshops and training sessions\nCreate educational content, assessments, and project-based learning materials\nDesign practical exercises, guides, prompts, and reference resources\nHelp define curriculum structure, learning objectives, and competency frameworks\nReview content for technical accuracy and industry relevance\nShare insights on AI tools, workflows, and emerging trends\nCollaborate with instructional designers and curriculum teams to continuously improve learning outcomes\nSupport program updates based on learner feedback and market needs\nAreas of involvement\nInstructor - leads live sessions, workshops, and learner interactions.\nAuthor - creates course content, lessons, assessments, and projects.\nSubject Matter Expert - shapes curriculum strategy, competency frameworks, and program direction.\nAll roles are part-time: 10-15 hours per week.\nRequirements\n5+ years of experience in QA Engineering, with a strong focus on mobile QA (Android/iOS), test automation, or AI-assisted quality engineering\nSolid knowledge of one or more of the following: Kotlin, Swift, Java, Python, JavaScript/TypeScript\nHands-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\nStrong ability to share knowledge through content creation, training, mentoring, or facilitation, making complex QA concepts clear, practical, and engaging for learners\nAbility to work independently with strong ownership and minimal supervision\nStrong attention to detail\nAvailability to collaborate within European time zones\nAbility to dedicate approximately 10-15 hours per week\n Fluent English (written and spoken); Russian or Spanish is a strong plus\nBackground in QA advocacy, tech leadership, mentoring, conference speaking, or technical community engagement is a plus\nNice-to-have\nStrong expertise in QA Engineering, Test Automation, or AI-assisted Quality Engineering\nAbility to evaluate real-world AI/QA tools, testing architectures, and workflows, distinguishing practical approaches from hype\nExperience creating competency maps, skill frameworks, learning roadmaps, or curriculum structures\nAbility to review technical learning content and provide structured feedback\nWhat we can offer you\nThe opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current role\nCompetitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!\nRemote cooperation with a schedule convenient for both you and the team: We don't focus on 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