Remote Privacy & Data Protection Law Expert

Turing•San Francisco, CA

1d•Remote

About The Position

Turing invites privacy and data protection law experts to contribute to projects that fine-tune AI models. The role applies U.S. privacy law expertise to evaluate how AI responds to privacy-law hypotheticals, including topics such as CCPA/CPRA compliance, state privacy frameworks, data breach response, and cross-border data transfers. No prior AI experience is required. The work involves reviewing AI-generated legal responses, applying a structured rubric to assess issue spotting and legal accuracy, identifying gaps in AI reasoning, and providing detailed annotations and written feedback to improve the models. The expert will collaborate with researchers and project managers to align evaluation standards and project goals. The engagement is freelance, fully remote, and offers flexible hours of 10–30 per week. It is expected to last approximately one month, with possible extension depending on performance and project needs.

Requirements

Juris Doctor (J.D.) from an accredited U.S. law school.
Bar admission, active or inactive.
At least 3 years of U.S. legal practice in privacy law, data protection, cybersecurity law, or technology transactions.
Strong reasoning skills across CCPA/CPRA, state privacy laws, COPPA, HIPAA privacy provisions, and FTC enforcement frameworks.
Excellent written communication and attention to detail.
High ethical standards.

Nice To Haves

Interest in AI.

Responsibilities

Review and evaluate AI-generated responses to U.S. privacy law hypotheticals, including CCPA/CPRA consumer rights, state data breach notification requirements, COPPA compliance, and FTC Section 5 enforcement.
Use a structured legal rubric to assess issue spotting, privacy-statute accuracy, and application of state privacy frameworks and federal sectoral laws.
Identify gaps in AI reasoning concerning data minimization, consumer opt-out rights, vendor management, cross-border transfer mechanisms, and biometric privacy laws such as BIPA.
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.