Remote Junior Lawyer — AI Legal Data Annotator

Remotebridge; United States; Remote; USD 34,000 - 83,000; Part time

Job summary

Remotebridge seeks a Junior Lawyer for a remote contractor role focused on training AI systems with legal data. You will review and annotate documents, ensure Bluebook compliance, and summarize concepts for algorithmic learning.

Responsibilities include collaboration with project managers and lawyers to deliver high‑quality inputs within tight timelines, and contributing to QA processes to ensure legal accuracy in AI outputs.

Qualifications

• ,Note: must be able to review and annotate complex legal documents and ensure compliance with U.S. standards.

Responsibilities

• Review and annotate complex legal documents, agreements, and case law materials for clarity, accuracy, and compliance with U.S. legal standards.
• Conduct cite-checking and ensure strict adherence to Bluebook citation format throughout legal texts.
• Curate, edit, and evaluate legal writing samples to help develop datasets for AI training purposes.
• Provide detailed feedback on legal arguments, logical structure, and use of precedent within sample documents.
• Summarize intricate legal concepts in clear, concise language suitable for algorithmic understanding.
• Collaborate remotely with project managers and legal experts to meet project deliverables and quality benchmarks.
• Contribute to quality assurance processes by validating AI outputs against legal accuracy and best practices.

Skills

Attention to detail

Bluebook citation

Legal writing

Communication

Remote collaboration

Legal research

Education

J.D. from a U.S. law school

Tools

Microsoft Word

Westlaw/Lexis

Job description

Remotebridge seeks a Junior Lawyer for a remote contractor role focused on training AI systems with legal data. You will review and annotate documents, ensure Bluebook compliance, and summarize concepts for algorithmic learning.

Responsibilities include collaboration with project managers and lawyers to deliver high‑quality inputs within tight timelines, and contributing to QA processes to ensure legal accuracy in AI outputs.