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

TripleTen • Boston, MA

1d • Remote

About The Position

Nebius Academy is an international online learning platform focused on AI and cloud technologies for engineering teams. They offer hands-on, industry-relevant B2B programs. Their QA curriculum specifically addresses AI-assisted quality engineering, teaching how to leverage AI tools for smarter testing, faster automation, and building reliable mobile and backend products. They are building a talent pool for ongoing roles as Instructors, Authors, and Subject Matter Experts within this program. These positions are part-time, requiring approximately 10-15 hours per week, and involve contributing as an instructor for live sessions, an author for creating learning materials, or a subject matter expert for curriculum development. Teaching sessions are compensated separately. The application process is asynchronous, including application review, a video interview, a test assignment, and potentially a hiring manager call.

Requirements

• Strong hands-on technical 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 structuring complex QA knowledge into competency maps, frameworks, skill decompositions, or curriculum logic (for SME role).
• Ability to review technical learning content critically and provide clear, structured feedback (for SME role).
• Seniority level allowing autonomous work after onboarding, with strong ownership and minimal supervision (for SME role).
• Strong communication skills and ability to explain complex technical topics clearly to mixed stakeholders.
• 5+ years of professional experience in QA engineering, with a strong focus on mobile QA (Android / iOS) or test automation (for Author and Instructor roles).
• Solid knowledge of one or more of the following: Kotlin, Swift, Java, Python, JavaScript/TypeScript.
• Hands-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 impact.
• Proven track record in engineering advocacy, tech leadership, conference speaking, or mentoring (for Author role).
• Strong desire to share knowledge and explain complex concepts in a clear, comprehensible way (for Author role).
• Ability to work independently and take ownership of a content area (for Author role).
• Strong attention to detail (for Author role).
• Ability to translate complex QA concepts into actionable, engaging learning experiences for professional audiences (for Instructor role).
• Confident, collaborative, and audience-oriented facilitation style (for Instructor role).
• Background in QA advocacy, tech leadership, or engineering mentorship is a strong plus (for Instructor role).
• Strong preparation habits and time management.
• Availability to collaborate within European time zones.
• Fluent English (written and spoken).
• Russian or Spanish is a strong plus.

Nice To Haves

• Russian or Spanish language skills.

Responsibilities

• Lead live, hands-on training sessions and workshops for experienced QA engineers, focusing on integrating AI-assisted testing tools.
• Prepare practical workshop scenarios, training materials, reusable assets (test scripts, prompt libraries, challenge tasks, reference guides), and collaborate with instructional designers.
• Create core educational content for QA courses, including structure, learning objectives, lessons, assessments, and final projects.
• Define course structures and learning objectives for each module, creating content in various formats (text, slides, screencasts).
• Participate as a speaker in learning videos and design final course projects.
• Shape the strategic direction of QA curriculum, ensuring programs reflect industry needs and AI trends.
• Define topic priorities for AI-assisted QA learning programs.
• Decompose QA and AI skills into competency maps, mastery frameworks, and learning roadmaps.
• Review course structures and content for technical accuracy, practical relevance, and alignment with learning outcomes.
• Act as an internal authority for the Curriculum team, translating market needs and AI trends into program strategy.
• Support the selection and evaluation of external authors and experts.
• Monitor AI tools and emerging QA workflows, converting insights into recommendations for new or updated programs.
• Communicate with students during Q&A sessions and review/incorporate learner feedback.
• Work iteratively with instructional designers to improve content quality and ensure alignment between asynchronous and live content.

Benefits

• Competitive hourly rate ($40-$85 USD).
• Flexible part-time collaboration.
• Remote cooperation with a convenient schedule.
• Cross-cultural experience with an international team.
• Opportunity to create impactful content while maintaining primary job.
• Meaningful impact by sharing knowledge and helping engineers advance skills.
• Participation in innovative projects shaping the future of programming education and AI adoption.
• Professional growth through feedback and skill development.

What This Job Offers

• Job Type: Part-time
• Career Level: Senior
• Education Level: No Education Listed