Securities & Financial Regulation Specialist

Turing Enterprises, Inc.; San Francisco (CA); Remote; USD 83,000 - 152,000; Full time

Benefits offered by this job

Flexible remote work

Competitive compensation

Cutting-edge AI projects

Job summary

Turing Enterprises, Inc. in San Francisco seeks securities law experts to evaluate AI model outputs against U.S. securities laws. Your background in SEC enforcement, capital markets regulation, and compliance will guide precise assessments of how AI reasons about registrations and exemptions.

No prior AI experience is required; this position offers flexible hours and remote collaboration with a leading AI research accelerator. DOJ/Bar is required.

Qualifications

• J.D. from an accredited U.S. law school; active Bar admission.
• Minimum 3+ years of U.S. securities regulation practice.
• Strong reasoning on the Securities Act, Exchange Act, and Advisers Act.

Responsibilities

• Review AI-generated responses to securities law hypotheticals.
• Apply a structured legal rubric for issue spotting and rule accuracy.
• Identify gaps in AI reasoning on materiality and safe harbors.
• Provide detailed annotations to refine AI models.
• Collaborate with researchers and project managers on standards.

Skills

Securities law

Regulatory compliance

Legal writing

Analytical reasoning

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 Securities and Financial Regulation experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in SEC enforcement, public offerings, broker-dealer compliance, and investment adviser regulation to evaluate how AI reasons about securities law. If you enjoy analyzing registration requirements, insider trading hypotheticals, and Regulation D exemptions, this is your opportunity. No prior AI experience is required — your background in U.S. securities law is exactly what’s needed.

What Does Day-to-Day Look Like:

• Review and evaluate AI-generated responses to U.S. securities law hypotheticals, including Securities Act registration, Exchange Act reporting, insider trading (Rule 10b-5), and investment company regulation.


• Apply a structured legal rubric to assess issue spotting, accuracy of SEC rules and regulations, and proper application of Howey test, Regulation D, and proxy solicitation rules.


• Identify gaps in AI reasoning around 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.

Requirements:

• Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive).


• 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 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.