Intellectual Property Law Expert

Turing•San Francisco, CA

1d•Remote

About The Position

Turing invites intellectual property law experts to contribute to projects that fine-tune AI models. The role applies expertise in patent prosecution, trademark registration, copyright protection, and trade secret litigation to evaluate how AI handles intellectual property law questions. No prior AI experience is required; U.S. intellectual property law experience is the focus. The work includes reviewing AI-generated responses to U.S. IP hypotheticals, assessing issue spotting and legal accuracy against a structured rubric, identifying weaknesses in AI reasoning, and providing detailed annotations and written feedback. The expert will collaborate with researchers and project managers to align evaluation standards and project goals. This is a flexible freelance engagement requiring 10–30 hours per week. The expected duration is approximately one month, with a possibility of extension based on performance and project needs.

Requirements

Juris Doctor (J.D.) from an accredited U.S. law school.
Active or inactive bar admission.
At least 3 years of U.S. legal practice in intellectual property, including patents, trademarks, copyrights, or trade secrets.
Strong reasoning skills across intellectual property prosecution, litigation, licensing, and enforcement.
Excellent written communication and attention to detail.
High ethical standards.

Nice To Haves

Patent Bar registration.
Interest in AI.

Responsibilities

Review and evaluate AI-generated responses to U.S. intellectual property hypotheticals, including patent eligibility, trademark likelihood of confusion, copyright fair use, and trade secret misappropriation.
Use a structured legal rubric to assess issue spotting, accuracy of intellectual property doctrines, and application of the Patent Act, Lanham Act, and Copyright Act.
Identify gaps in AI reasoning concerning claim construction, prior art analysis, distinctiveness, and DMCA safe harbors.
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.