At a Glance
- Tasks: Evaluate AI responses on U.S. securities law and provide detailed feedback.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible remote work, competitive pay, and the chance to shape AI in law.
- Other info: Work on innovative projects with top AI companies and enjoy career growth.
- Why this job: Make an impact by refining AI models with your legal expertise.
- Qualifications: Juris Doctor and 3 years in U.S. securities regulation required.
The predicted salary is between 100 - 100 £ per hour.
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 specialise 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 analysing 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 harbours, 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.
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
Locations
Remote Securities & Financial Regulation Expert in City of London, London employer: Turing
Turing is an exceptional employer that offers a unique opportunity to work remotely on groundbreaking AI projects, allowing you to apply your expertise in U.S. securities law while collaborating with top researchers in the field. With a flexible work arrangement and competitive compensation, Turing fosters a culture of innovation and continuous learning, making it an ideal environment for professionals looking to make a meaningful impact in the evolving landscape of AI and finance.
