Kazakh Annotation Contributor

Local Cuisine Classification for Global Food Delivery — Remote (Kazakhstan) Are you a native Kazakh 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 Kazakh 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 Kazakh. 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 data 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 Kazakhstan) Language: Kazakh & English Comprehension Pay Rate: 5.00 $ What We’re Looking For Linguistic Background: Native Kazakh speaker currently based in Kazakhstan. English Comprehension: Strong ability to confidently navigate and select from taxonomy options written in Americanized English. Cultural Expertise: Deep familiarity with Kazakh restaurant menus, local cuisine terminology, and regional specialties. Tech-Savvy: Comfortable using a web browser to navigate structured data entry tasks. Detail-Oriented: A commitment to providing consistent, highly accurate, and quality work. Prompt Availability: Ability to complete the assignment within 1–2 business days after receiving system 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.