Multilingual Data Contributors: PDF Collection for AI Training

Team: Others

Location: US

Commitment: Contract

Workplace Type: remote

Accountabilities:

• Source high-quality public PDF documents in your designated language using online archives, public records, open-source repositories, and other appropriate sources.
• Verify that each document is legally usable and meets applicable public-domain or open-source licensing requirements.
• Review documents for relevance, quality, and compliance with the project’s sourcing guidelines.
• Download and securely upload approved documents through the designated research platform.
• Provide basic descriptive metadata and other required information for each submitted document.
• Work independently and asynchronously while following project instructions and quality standards.
• Respond to review feedback and make adjustments to submissions when required.
• Maintain careful attention to copyright, licensing, document quality, and submission accuracy throughout the process.

Requirements:

• Fluent reading comprehension in Telugu, Odia, Gujarati, Malayalam, Japanese, or Korean.
• Comfortable searching for, evaluating, downloading, and organizing digital documents online.
• Basic understanding of public-domain, open-source, and copyright or licensing principles.
• Strong attention to detail and the ability to consistently follow document sourcing and quality requirements.
• Ability to independently research information and make sound judgments about document suitability.
• Comfortable working asynchronously and managing assigned tasks without close supervision.
• Experience in research, data annotation, document collection, language-related work, digital archives, or online research is beneficial.
• Reliable computer and internet connection capable of downloading and uploading PDF files.
• Ability to provide accurate basic metadata and descriptive information for submitted documents.

Benefits:

• Compensation: $150 per completed task.
• Fully remote contract opportunity.
• Flexible, asynchronous work that can be completed independently.
• Opportunity to contribute to the development and improvement of multilingual AI technologies.
• Suitable for researchers, language contributors, data annotators, and other individuals looking for project-based AI work.
• Opportunity to gain practical experience contributing human-generated data to machine learning research.
• No specific academic degree requirement is stated; relevant research, language, or data experience is valued.