About the Role
Support the development of a food recognition system by reviewing and labeling menu data in German, ensuring correct categorization and linguistic accuracy.
Responsibilities
- Review digital menu entries in German for accuracy and completeness
- Label food items using predefined classification schemes
- Ensure consistency in terminology and categorization across entries
- Identify and flag ambiguous or unclear menu descriptions
- Follow annotation guidelines to maintain data quality
- Report technical or linguistic issues encountered during the process
- Maintain high precision in data tagging tasks
- Adhere to project timelines and quality benchmarks
- Provide feedback on guideline improvements when applicable
- Collaborate with project leads on clarification of edge cases
Nice to Have
- Experience with machine learning or AI training data projects
- Background in food service or culinary arts
- Familiarity with regional variations in German-speaking menus
- Previous remote work in structured data tasks
Work Arrangement
Remote (Country)
Project Details
- This is a project-based role focused on enhancing AI-driven food recognition systems
- Work is conducted entirely remotely within Germany
- Contributors will use a secure online platform to complete tasks
- Flexible hours with task deadlines to meet project goals
Application Process
- Applicants must complete a short language and categorization assessment
- Selected candidates will undergo a brief onboarding and training session
- Onboarding includes review of annotation guidelines and platform navigation
