[Hiring] Multilingual Data Contributors: PDF Collection for AI Training @Terac

Role Description

We're running a paid study on multilingual document sourcing to improve AI text recognition and generation. High-quality, legally usable PDFs in various languages are essential for training robust machine learning models. Your contributions will directly support the development of better language processing tools.

You will work asynchronously to find and submit public, legally usable PDF documents in your designated language. During this process, you will verify that each document meets our quality and licensing requirements. You will upload the files through our secure platform and provide basic metadata for each submission. We will review your uploaded documents to ensure they match the project guidelines before approving the task.

Qualifications

• Fluent reading comprehension in Telugu, Odia, Gujarati, Malayalam, Japanese, or Korean
• Comfortable searching for and downloading digital documents online
• Basic understanding of public domain or open-source licensing
• Access to a reliable computer and internet connection for uploading files

Requirements

• Source legally usable, public PDF documents in your designated language
• Verify that each document meets open-source or public domain licensing requirements
• Upload the collected files to our research platform
• Provide basic descriptive information for each submitted document

Compensation

• $150 per task

Company Description

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com or on YouTube at @jointerac .