Local Cuisine Classification for Global Food Delivery — Remote (Germany)
Are you a native German speaker with a deep understanding of local food and solid English comprehension? Welo Data is seeking contributors for a global food delivery project.
In this freelance role, you will review restaurant menu items written in German and classify them using a standardized taxonomy in Americanized English. Your cultural knowledge and linguistic skills will directly help enhance food category recognition across diverse global markets.
What You Will Do
- Read & Review: Analyze each menu item's name, category, and description written in German.
- Confirm Context: Check the item photo (if available) to visually verify the food type.
- Classify (Dish Label): Assign the most accurate Dish Label from an English-language taxonomy dropdown using keywords like "pasta" or "grilled chicken".
- Categorize (Course Label): Select the appropriate Course Label in English (e.g., Appetizer, Main Course, Side Dish, Dessert, Beverage, Other).
- Add Contextual Notes: Provide a brief note for any items that seem unclear, ambiguous, or unusual to ensure no row is left blank.
Project Details
- Status: ASAP
- Duration: 1–2 hours total (up to a maximum of 10 hours)
- Job Type: Freelance
- Location: Remote (Must be based in Germany)
- Language: German & English Comprehension
- Pay Rate: 20.00 $ (per hour)
What We’re Looking For
- Linguistic Background: Native German speaker currently based in Germany.
- English Comprehension: Strong ability to confidently navigate and select from taxonomy options written in Americanized English.
- Cultural Expertise: Familiarity with German restaurant menus and local cuisine terminology.
- Tech-Savvy: Comfortable using a web browser for structured tasks.
- Detail-Oriented: A commitment to providing consistent, accurate, and high-quality work.
- Prompt Availability: Ability to complete the assignment within 1–2 business days after receiving access.
Join the Welo Data Community
Thank you for your interest in contributing to Project Antila! By joining this project, you help refine how global AI systems understand local food cultures. We look forward to collaborating with you.