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Job Summary:
- 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 escalate 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.
Undisclosed
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.