Freelance Attorney (Remote)

Turing is looking for candidates with strong experience in legal research, drafting, and case analysis, particularly at the level expected for licensed attorneys or legal professionals experienced in litigation, corporate law, or regulatory compliance.
In this role, you will contribute to projects that help evaluate and enhance AI systems using your legal expertise and analytical reasoning skills.
These projects will help you explore how AI can be leveraged to improve legal reasoning, research efficiency, and document interpretation in real-world legal workflows.

Design and solve real-world legal reasoning and case analysis scenarios to test AI reasoning.
Write clear, structured legal analyses and arguments across contract law, torts, corporate law, criminal law, and ethics.
Evaluate AI responses for accuracy, clarity, and adherence to professional legal standards.
Collaborate with researchers to refine AI understanding of statutes, case law, and procedural frameworks.

4+ years of experience as a Licensed Attorney, Associate, or Legal Counsel.

• Juris Doctor (JD) or equivalent law degree required.
• Strong English writing, reasoning, and analytical communication skills.
• Comfortable using web-based tools for annotation and review.

Perks of freelancing with Turing & offer details:
Strong compensation (exact amount varies by project).
Fully remote work environment.
Contractor assignment/freelancer, potentially full-time.
Duration of projects: approximately 1 month, with the possibility for extension.

Confidential or proprietary information from any employer, university, etc.
Trade secrets or internal company or university data.
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.