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micro1 is a data lab that partners with AI labs to build and evaluate training data for complex legal domains. We seek a Law Review Cite-Checker to review citations, apply Bluebook rules, and create sample tasks for a remote project.
Ideal candidates are current law students (2L/3L) or recent JD graduates with law journal experience and strong editorial judgment. This role is remote, contract-based, and pays hourly.
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Role Title: Law Review Cite-Checker
Role Type: Contractor
Location: Remote
Pay: $50–80/hour
You’ll need: Current or recent law school enrollment, hands-on Bluebook experience, and law journal or law review editing experience
Your tasks: Review citation-checking rubrics and build sample cite-checking tasks
micro1 is engaging law students and recent law graduates with law journal experience to support a legal citation project. If you’ve spent time cite-checking for a law review or journal, this is that skill applied to a new context. No prior AI experience is required — your Bluebook fluency and editorial judgment are what matter.