Criminal Law Expert for AI Content (Remote)

SaidGig

New York (NY)

Remote

USD 193,000 - 551,000

Part time

12 days ago

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Job summary

SaidGig seeks a remote contractor with strong criminal-law expertise to help train AI systems through high-quality legal analysis, document review, and practical feedback. You will translate real-world criminal law knowledge into clear material for model training, with no prior AI experience required.

You will analyze materials, review documents, and summarize arguments for training datasets, while staying current on developments in criminal law and collaborating with cross-functional teams

Qualifications

  • JD or LLM from an accredited law school, active bar membership.
  • Substantial criminal-law practice experience, preferably at a BigLaw firm or equivalent.
  • Strong research, writing, and editing skills in criminal law.
  • Ability to synthesize large volumes of legal information with high attention to detail.

Responsibilities

  • Analyze criminal law materials to identify relevant insights.
  • Review and edit complex legal documents for accuracy and compliance.
  • Summarize legal arguments, decisions, and procedural issues for AI training materials.
  • Explain detailed legal concepts and reasoning in concise, accessible language.
  • Provide actionable feedback to improve legal content accuracy.
  • Stay current with criminal-law developments and update materials accordingly.
  • Collaborate remotely with cross-functional teams to meet project milestones.

Skills

Legal research
Legal writing
Editing
Attention to detail
Communication

Education

JD or LLM
Active bar membership

Tools

Legal research databases

Job description

SaidGig seeks a remote contractor with strong criminal-law expertise to help train AI systems through high-quality legal analysis, document review, and practical feedback. You will translate real-world criminal law knowledge into clear material for model training, with no prior AI experience required.

You will analyze materials, review documents, and summarize arguments for training datasets, while staying current on developments in criminal law and collaborating with cross-functional teams

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