Spanish (Mexico) Annotation Contributor
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Are you a native Spanish speaker with a strong 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 Spanish 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 the name, category, and description of menu items written in Spanish
- 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 (e.g., searching 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 highly localized 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 / Independent Contractor
- Location: Remote (Must be based in Mexico)
- Language: Spanish (Mexican) & English Comprehension
- Pay Rate: 4.80$ (per hour)
- Linguistic Background: Native Spanish speaker currently based in Mexico
- English Comprehension: Strong ability to confidently navigate, read, and select from taxonomy options written in Americanized English.
- Cultural Expertise: Deep familiarity with Mexican restaurant menus, local cuisine terminology, and regional ingredients.
- 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.
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.
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