Document Sourcing Specialist

About this role

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Skills

Key responsibilities

• Source publicly available documents from platforms such as government archives, academic repositories, open datasets, and licensed open-source documentation.
• Verify and document the license type of every sourced document, ensuring strict adherence to requirements such as CC0, CC-BY, MIT, or Apache 2.0 (or equivalent).
• Log critical metadata for each submission, including source URLs and full license details, in designated tracking tools.
• Flag and annotate any issues related to ownership, unclear licensing, paywalled access, or content with non-commercial usage restrictions.
• Collaborate with data engineering and compliance teams to clarify requirements and resolve sourcing ambiguities.
• Maintain up-to-date knowledge of open data best practices, licensing changes, and repository navigation strategies.
• Communicate findings and unresolved issues clearly in both written and verbal form, supporting documentation integrity and compliance audits.

Required skills & qualifications

• Exceptional attention to detail and ability to accurately review complex licensing and compliance information.
• Experience sourcing documents from repositories such as SEC EDGAR, arXiv, Kaggle, and GitHub.
• Proficiency in academic research, data collection, and public records searching.
• Strong written and verbal communication skills, able to articulate findings and collaborate remotely.
• Demonstrated ability to distinguish between open and restricted content, and to identify potential sourcing risks.
• Comfort working independently in a fast-paced, remote environment with evolving priorities.
• Highly organized, reliable, and adept at managing and documenting large volumes of information.

Preferred qualifications

• Prior experience supporting AI or machine learning projects with high-quality data sourcing.
• Familiarity with open-source licensing and data compliance regulations.
• Background in academic research, information science, or legal review.