PitchMeAI
micro1

Document Sourcing Specialist

micro1 · NAMER

  • Hybrid
  • Contract
  • $70,000 / year
  • NAMER

Job highlights

  • Source and verify open-access documents for AI training.
  • Ensure strict adherence to licensing requirements.
  • Log metadata and identify potential sourcing issues.
  • Collaborate with data and compliance teams.
  • Work independently in a remote, fast-paced environment.

About the role

Document Sourcing Specialist

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.

Key skills/competency

  • Document Sourcing Specialist
  • Data Compliance
  • Licensing Verification
  • Open Access Documents
  • Metadata Logging
  • AI Training Data
  • Repository Navigation
  • Risk Assessment
  • Information Science
  • Remote Collaboration

Skills & topics

  • Document Sourcing Specialist
  • Data Sourcing
  • Compliance Specialist
  • AI Data
  • Open Access
  • Licensing
  • Metadata
  • Remote
  • Contract
  • micro1

How to get hired

  • Tailor your resume: Highlight experience with document sourcing, licensing verification, and compliance, especially from platforms like SEC EDGAR, arXiv, Kaggle, and GitHub.
  • Craft a compelling application: Emphasize your attention to detail, organizational skills, and ability to work independently in a remote setting.
  • Prepare for remote interviews: Be ready to discuss your experience with open-source licensing and how you handle ambiguity in data sourcing.
  • Showcase compliance knowledge: Demonstrate your understanding of various open-source licenses (CC0, MIT, Apache 2.0) and data regulations during the interview process.

Technical preparation

Familiarize yourself with CC0, CC-BY, MIT licenses.,Practice searching SEC EDGAR, arXiv, Kaggle, GitHub.,Understand data metadata logging tools.,Review open-source data best practices.

Behavioral questions

Describe a time you found a licensing issue.,How do you ensure accuracy with large datasets?,How do you prioritize tasks in a remote setting?,How do you collaborate with technical teams remotely?

Frequently asked questions

What are the primary responsibilities of a Document Sourcing Specialist at micro1?
As a Document Sourcing Specialist at micro1, your main duties involve identifying, verifying, and sourcing open-access documents from various repositories. You'll ensure these documents meet specific licensing requirements, log critical metadata, and flag any potential issues with ownership or usage restrictions. This role is crucial for providing high-quality data for AI training.
What kind of experience is required for the Document Sourcing Specialist role at micro1?
The role requires exceptional attention to detail, experience sourcing documents from platforms like SEC EDGAR, arXiv, Kaggle, and GitHub, and proficiency in academic research and data collection. Strong written and verbal communication skills are essential for remote collaboration, along with the ability to work independently and manage large volumes of information.
Is the Document Sourcing Specialist position at micro1 remote?
Yes, the Document Sourcing Specialist position at micro1 is a fully remote role. This allows for flexibility in work location, but requires strong self-discipline and communication skills to thrive in a distributed team environment.
What are the preferred qualifications for a Document Sourcing Specialist at micro1?
Preferred qualifications include prior experience supporting AI or machine learning projects with data sourcing, familiarity with open-source licensing and data compliance regulations, and a background in academic research, information science, or legal review. These add an advantage to your application.
How does a Document Sourcing Specialist contribute to AI training at micro1?
Document Sourcing Specialists contribute to AI training by ensuring the integrity and compliance of the data used. By sourcing and verifying documents that meet stringent licensing requirements, they provide a clean, reliable dataset, which is fundamental for effective and ethical AI model development.