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

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

You 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 workshops

Prepare practical workshop scenarios and training materials in collaboration with our Instructional Designer

Develop reusable materials: test scripts, prompt libraries, challenge tasks, and reference guides

Work with the curriculum team to ensure alignment between asynchronous and live content

Communicate with students during Q&A sessions

Review and incorporate learner feedback to continuously improve session design

You 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 module

Create clear, concise, and comprehensive content: lessons, manuals, guides, session outlines, and assessments

Prepare content in multiple formats: text, draft slides, and screencasts

Participate as a speaker in learning videos

Design the final project for the course

Work iteratively with instructional designers to improve content quality

Ensure all content meets industry standards and aligns with course objectives

Contribute to content updates based on student feedback analysis

Optional: participate as an instructor in live sessions — compensated separately

You 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 roles

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 in QA into program strategy

Support the selection and evaluation of external authors and experts

Monitor 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.

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 — and distinguish practical approaches from hype

Experience structuring complex QA knowledge into competency maps, frameworks, skill decompositions, or curriculum logic

Ability to review technical learning content critically and provide clear, structured feedback to authors and internal stakeholders

Seniority level that allows autonomous work after onboarding, with strong ownership and minimal supervision

Strong communication skills and ability to explain complex technical topics clearly to mixed stakeholders

Availability to collaborate within European time zones

Fluent English (written and spoken); Russian or Spanish is a strong plus

5+ years of professional experience in QA engineering, with a strong focus on mobile QA (Android / iOS) or test automation

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

Strong desire to share knowledge and explain complex concepts in a clear, comprehensible way

Ability to work independently and take ownership of a content area

Strong attention to detail

Availability to dedicate approximately 10 hours per week to collaboration

5+ years of experience in QA engineering, with a strong focus on mobile QA (Android / iOS) or test automation

Ability to translate complex QA concepts into actionable, engaging learning experiences for professional audiences

Confident, collaborative, and audience-oriented facilitation style

Background in QA advocacy, tech leadership, or engineering mentorship is a strong plus

Strong preparation habits and time management; able to commit 10–15 hours per week

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