Document Sourcing Specialist

Micro1; India; Remote; INR 600,000 - 900,000; Full time

Job summary

Cashback24x7 is seeking a Document Sourcing Specialist for a fully remote contract role (full-time or part-time). You will identify, verify, and source open-access documents to support AI training, ensuring they meet licensing requirements.

Responsibilities include sourcing from government archives, arXiv, Kaggle, and GitHub, verifying licenses (CC0, CC-BY, MIT, Apache 2.0), logging metadata, flagging licensing issues, and collaborating with data engineering and compliance teams.

Qualifications

• Exceptional attention to detail and ability to review licensing/compliance information.
• Experience sourcing documents from repositories like SEC EDGAR, arXiv, Kaggle, GitHub.
• Proficiency in academic research, data collection, and public records searching.
• Strong written and verbal communication, able to collaborate remotely.

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 licenses like CC0, CC-BY, MIT, or Apache 2.0.
• Log metadata for each submission, including source URLs and license details, in tracking tools.
• Flag and annotate issues related to ownership, unclear licensing, paywalled access, or content with non-commercial 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 clearly in written and verbal form, supporting documentation integrity.

Skills

Attention to detail

Licensing compliance

Document sourcing

Remote collaboration

Job description

Job Title: Document Sourcing SpecialistJob Type: Contract (full-time or part-time)Location: Remote

Job Summary:

Join our customer's team as a Document Sourcing Specialist, where your keen eye for detail and passion for compliance will directly impact the quality of data used in AI training. In this fully remote role, you will identify, verify, and source open-access documents from a variety of reputable repositories to ensure they meet stringent licensing requirements.

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.