Job Overview
Location
Any
Job Type
Full-time
Category
Other
Date Posted
July 9, 2026
Full Job Description
📋 Description
- • Help Improve the Next Generation of AI!
- • Join our global contributor community and help evaluate and improve the quality of a leading AI model.
- • Please note: This project may include content related to sensitive topics.
- • Write prompts in your native language designed to test an AI model.
- • Evaluate the AI's responses using a structured rating guide.
- • Identify areas where the AI's responses can be improved.
- • Translate your prompts and evaluations into English.
- • Pay: $11 USD per hour
- • Flexible schedule
- • Work remotely from home
- • Native-level fluency in Slovenian
- • Professional-level proficiency in English (bilingual is required).
- • Strong written communication skills.
- • Ability to provide accurate English translations.
- • This role is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor.
- • If selected, you will receive an email from CrowdGen regarding the creation of an account using your application email address.
- • You will need to log in to this account and reset the password, complete the setup requirements, and proceed with your application for this project-based role.
- • If you’re passionate about precision, language, and AI innovation — we’d love to have you on the team!
🎯 Requirements
- • Native-level fluency in Slovenian
- • Professional-level proficiency in English (bilingual is required).
- • Strong written communication skills.
- • Ability to provide accurate English translations.
🏖️ Benefits
- • Pay: $11 USD per hour
- • Flexible schedule
- • Work remotely from home
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Appen Limited
Appen Limited is an Australian publicly traded company that provides data annotation, collection, and evaluation services to improve machine-learning models for technology, automotive, and government clients worldwide. Leveraging a global crowd of over one million contributors, it produces high-quality training data for speech recognition, computer vision, search relevance, natural-language processing, and sentiment analysis systems. Founded in 1996 and headquartered in Sydney, Appen supports more than 235 languages and dialects, enabling scalable, accurate datasets that power AI applications across autonomous vehicles, virtual assistants, e-commerce, and social media platforms while emphasizing ethical crowd practices and data security.
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