Litigation & Civil Procedure Expert

Turing Enterprises, Inc.; San Francisco (CA); Remote; USD 110,000 - 220,000; Full time

Benefits offered by this job

Competitive compensation

Fully remote work

Cutting-edge AI projects

AI-enabled legal field training

Job summary

Turing Enterprises, Inc. in San Francisco, California invites experienced litigation professionals to join projects refining AI models for legal reasoning. You will review AI-generated responses to U.S.

litigation hypotheticals and provide rigorous feedback to improve accuracy and reliability. Candidates bring a J.D. with Bar admission and 3+ years in civil or appellate practice, using a structured approach to rules and precedents.

Qualifications

• J.D. from an accredited U.S. law school with active Bar status.
• 3+ years of U.S. civil or appellate litigation practice.
• Strong analytical skills, deep knowledge of Federal Rules of Civil Procedure.

Responsibilities

• Review and evaluate AI-generated responses to U.S. litigation hypotheticals.
• Apply a structured legal rubric to assess procedural accuracy and case law.
• Identify gaps in AI reasoning on standing, jurisdiction, and pleading standards.
• Provide detailed annotations and written feedback to refine models.
• Collaborate with researchers and project managers to align evaluation standards.

Skills

Legal reasoning

U.S. litigation

Trial advocacy

Education

Juris Doctor (J.D.)

Bar admission

Job description

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview:

Turing invites Litigation and Civil Procedure experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in trial strategy, motion practice, discovery, and procedural rules to evaluate how AI handles complex litigation scenarios. If you enjoy analyzing case strategy, identifying procedural deficiencies, and providing rigorous legal feedback, this is your opportunity. No prior AI experience is required — your background in U.S. litigation practice is exactly what’s needed.

What Does Day-to-Day Look Like:

• Review and evaluate AI-generated responses to U.S. litigation hypotheticals, including motion to dismiss arguments, summary judgment analyses, discovery disputes, and trial strategy questions.
• Apply a structured legal rubric to assess issue spotting, procedural accuracy under the Federal Rules of Civil Procedure, and proper application of case law and evidentiary standards.
• Identify gaps in AI reasoning around standing, jurisdiction, burden of proof, pleading standards (Twombly/Iqbal), and remedies.
• Provide detailed, high-quality annotations and written feedback to refine AI models.
• Collaborate with researchers and project managers to align evaluation standards and project goals.

Requirements:

• Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive).
• 3+ years of U.S. legal practice in civil litigation, commercial litigation, or appellate work.
• Strong reasoning skills across the Federal Rules of Civil Procedure, evidence, and trial advocacy.
• Excellent written communication and attention to detail.
• High ethical standards; interest in AI is a plus.

Perks of Freelancing with Turing:

• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Competitive compensation.
• Flexible, fully remote work arrangement.
• Learn how to use AI to advance the legal field.

Offer Details:

• Commitment: Flexible, 10–30 hrs/week.
• Duration: ~1 month, with the possibility of extension based on performance and project needs.