Remote Intellectual Property Law Expert

Turing•San Francisco, CA

1d•Remote

About The Position

Turing invites Intellectual Property law experts to work on projects that fine-tune AI models. The role applies expertise in patent prosecution, trademark registration, copyright protection, and trade secret litigation to evaluate AI reasoning about intellectual property legal questions. No prior AI experience is required. The work involves reviewing AI-generated responses to U.S. intellectual property hypotheticals, using a structured legal rubric to assess issue spotting and the accuracy and application of IP doctrines, and identifying gaps in AI reasoning. The expert provides detailed annotations and written feedback to refine AI models and collaborates with researchers and project managers to align evaluation standards and project goals. This is a flexible, fully remote freelance opportunity requiring 10–30 hours per week. The initial project is approximately one month, with possible 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 IP 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.
Apply a structured legal rubric to assess issue spotting, accuracy of IP 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 annotations and written feedback to refine AI models.
Collaborate with researchers and project managers to align evaluation standards and project goals.