About The Position

Join the team redefining how the world experiences design. This role is a 12-month B2B Service Agreement, typically 30-35 hours per week, focusing on those based in Germany. The role involves labelling, annotating, and evaluating various types of content in German to ensure linguistic quality, accuracy, and cultural appropriateness. You will also evaluate AI-generated content against Canva's quality bar for German users, contribute to German-specific datasets, and deliver labelled assets on time. Maintaining accuracy and consistency through reviewing your own labels based on feedback is crucial. Collaboration with in-house Data Labelling teams across the Philippines and EU is also part of the role for ongoing quality alignment.

Requirements

  • Native German speaker with strong written and spoken English
  • Ability to move fluidly between German and English with confidence
  • Attention to detail; inconsistencies catch your eye and you hold yourself to a high quality bar even on repetitive tasks
  • Self-directed and able to manage your own time across multiple concurrent projects without needing to be chased
  • Adaptable; able to pick up new guidelines quickly and apply them consistently across different task types
  • Genuinely curious about AI and excited to be part of building language experiences that work for German users
  • Ability to thrive in a fast-paced environment where the work evolves and no two weeks look exactly the same

Responsibilities

  • Labelling, annotating, and evaluating photos, graphics, videos, stickers, and designs in German — assessing linguistic quality, accuracy, and cultural appropriateness
  • Evaluating AI-generated content against Canva's quality bar for German users, helping shape how AI experiences land in your language
  • Building and contributing to German-specific datasets to support the internationalisation of Canva AI features
  • Delivering labelled assets on time, meeting output targets across a variety of task types and labelling guidelines
  • Reviewing and refining your own labels based on feedback to maintain accuracy and consistency
  • Collaborating with in-house Data Labelling teams across the Philippines and EU for ongoing quality alignment
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