Czech Annotation Contributor

Local Cuisine Classification for Global Food Delivery Remote (Czech Republic)

Are you a native Czech 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 Czech 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 items name category and description written in Czech.
• Confirm Context: Check the item photo if available to 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 such as Appetizer Main Course Side Dish Dessert or Beverage.
• 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: 12 hours total up to a maximum of 10 hours
• Job Type: Freelance
• Location: Remote (Must be based in the Czech Republic)
• Language: Czech
• Pay Rate: 13.00 $ (per hour)

What Were Looking For

• Linguistic Background: Native Czech speaker currently based in the Czech Republic.
• English Comprehension: Strong ability to confidently navigate and select from taxonomy options written in Americanized English.
• Cultural Expertise: Familiarity with Czech 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: Able to complete the assignment within 12 business days after receiving access.

Join the Welo Data Community

Thank you for your interest in joining Welo Datas community and contributing to this exciting project. We look forward to collaborating with you!