Deliver live workshops and training sessions

Create educational content, assessments, and project-based learning materials

Design practical exercises, guides, prompts, and reference resources

Help define curriculum structure, learning objectives, and competency frameworks

Review content for technical accuracy and industry relevance

Share insights on AI tools, workflows, and emerging trends

Collaborate with instructional designers and curriculum teams to continuously improve learning outcomes

Support program updates based on learner feedback and market needs

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