AI QA Engineer (all genders)
Ensure AI quality through automated tests, CI/CD integration, dataset checks, and metrics‑driven validation, shaping reliable and ethical AI.
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
Design, implement, and maintain automated tests, especially for systems using AI/ML models
Integrate tests into CI/CD pipelines, monitor regression runs, and adjust strategies for AI components
Create and maintain comprehensive test plans covering requirements, use cases, and AI-specific quality aspects (performance, accuracy, robustness, fairness)
Actively contribute to scrum ceremonies, providing feedback from both a user and AI quality perspective
Collaborate with Product Owners, Tech Leads, Developers, and AI Engineers from use case definition to model refinement to ensure testability
Assess datasets for quality and bias and evaluate their impact on model behavior
Apply foundational knowledge of machine learning and statistics to design meaningful tests and interpret AI results
Drive continuous improvement in QA processes, especially AI-related testing methods
Work closely with QA colleagues and development teams across units to align on quality standards and address AI-specific challenges
Requirements
Experience in test automation, software development, or quality assurance, with proficiency in Python or similar languages
Strong understanding of QA principles, SDLC, and foundational machine learning concepts
Ability to design meaningful AI/ML test scenarios, focusing on model behavior, edge cases, and reliability
Knowledge of evaluation metrics and basic statistical methods (precision, recall, F1, AUC, distributions, sampling)
Experience assessing datasets, including labeling, data quality checks, and identifying bias, data drift, or concept drift
Familiarity with AI evaluation tools (e.g., MLflow, Weights & Biases) and standard automation or CI/CD tools (e.g., Selenium, GitLab, Jenkins)
Awareness of ethical AI principles and best practices for responsible AI
Good communication skills to collaborate with different stakeholders
What we offer
Onsite Onboarding in our HQ office for an optimal start
Great compensation and benefits packages including company achievement bonus or sales bonus, company stocks and regular salary reviews
Public transport friendly offices
Special terms for local gyms
Access to Corporate Benefits platform with many discounts
Regular Team events and company-wide celebrations
Open door policy, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid and Flexible work time with up to 50% home office
Work From Abroad Program allowing up to 40 days of work outside your contracting country
We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us!
For this position, the collectively agreed minimum salary (IT Collective Agreement) is €3,843 gross per month based on a 38.5-hour work week. Naturally, a market-competitive overpayment is possible depending on your qualifications, professional experience, and overall expertise.
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
- Department
- Research & Development
- Locations
- Linz
- Remote status
- Hybrid
- Employment type
- Full-time
- Type of Job
- Non Student