Job Title: Document Sourcing Specialist

Job Type: Contract (full-time or part-time)

Location: Remote

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.

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 and 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.