Securities & Financial Regulation Specialist

Turing•New York, NY

22h•Remote

About The Position

Turing invites securities and financial regulation experts to work on projects that fine-tune AI models. The specialist will use U.S. securities law expertise to evaluate how AI reasons about topics including SEC enforcement, public offerings, broker-dealer compliance, and investment adviser regulation. No prior AI experience is required. The role involves reviewing AI-generated responses to securities law hypotheticals, applying a structured legal rubric, identifying gaps in AI reasoning, and providing detailed annotations and written feedback. The specialist will collaborate 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 engagement is expected to last approximately one month, with the 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 securities regulation, capital markets law, or financial services compliance.
Strong reasoning skills across the Securities Act, Exchange Act, Investment Company Act, and Investment Advisers Act.
Excellent written communication skills and attention to detail.
High ethical standards.

Nice To Haves

Interest in AI.

Responsibilities

Review and evaluate AI-generated responses to U.S. securities law hypotheticals, including Securities Act registration, Exchange Act reporting, insider trading under Rule 10b-5, and investment company regulation.
Apply a structured legal rubric to assess issue spotting, accuracy of SEC rules and regulations, and application of the Howey test, Regulation D, and proxy solicitation rules.
Identify gaps in AI reasoning regarding materiality, scienter, safe harbors, exempt offerings, and Dodd-Frank whistleblower protections.
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.