Bluebook Citation Specialist (Fully Remote)

Undisclosed

United States

Remote

USD 21,000 - 48,000

Part time

5 days ago
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Job summary

Undisclosed is a venture-backed AI company that combines human expertise with machine learning to build and evaluate cutting-edge AI models. It seeks law students and JD graduates with law review experience to support a legal citation project.

You will review Bluebook rules, create sample cite-checking tasks, and explain the reasoning behind corrections, not just indicate errors, in a remote, flexible setting. Screening questions and an AI interview are part of the process.

Qualifications

  • Must be a current law student (2L or 3L) or a recent JD graduate with law review experience.
  • Strong working knowledge of The Bluebook, including pincites and short forms.
  • Must be able to explain reasoning behind citation corrections, not just indicate errors.

Responsibilities

  • Review existing Bluebook and pincite rubrics and flag unclear or inconsistent rules.
  • Create sample cite-checking tasks across citation types and difficulty levels.
  • Apply Bluebook rules consistently and escalate ambiguous cases when needed.

Skills

Bluebook fluency
Editorial judgment
Reasoning explainability

Education

Law student (2L/3L) or JD graduate with law review

Job description

  • Engage law students and recent JDs with law journal experience in a legal citation project.
  • Apply Bluebook fluency and editorial judgment to support AI model development.
Scope of Work:
  • Review existing Bluebook and pincite rubrics and flag unclear or inconsistent rules.
  • Create sample cite-checking tasks across citation types and difficulty levels.
  • Apply Bluebook rules consistently and escalates ambiguous cases.
Preferred Qualifications:
  • Current law student (2L, 3L) or recent JD graduate with law review experience.
  • Strong working knowledge of The Bluebook, including pincites and short forms.
  • Ability to explain reasoning behind citation corrections, not just indicate errors.
Selection Process:
  • Complete screening questions and an AI interview to showcase your skills.
  • Profile review by the hiring team followed by onboarding with Talent Ops.

They are a venture-backed AI company that combines human expertise with machine learning to help build and evaluate cutting-edge AI models. Backed by over $40 million in funding, they connect a global network of experts with high-impact AI projects.

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