Privacy and Data Protection Law Expert (English)

Review AI-generated responses to U.S. privacy and data protection law hypotheticals. Use a legal rubric to assess issue spotting, statutory accuracy, and reasoning, then write detailed annotations and feedback to help improve model responses.

• Evaluate analysis involving the CCPA and CPRA, state privacy laws, state breach notification rules, COPPA, HIPAA privacy provisions, FTC Section 5 enforcement, and BIPA.
• Assess consent, consumer rights, opt-out rights, data minimization, breach response, vendor processing agreements, cross-border transfers, and biometric privacy.
• Work with researchers and project managers to align evaluation standards and project goals.

• Commitment: at least 20 hours per week.
• Engagement: approximately one month initially, with a possible extension based on performance and project needs.
• Education: Juris Doctor degree from an accredited U.S. law school.
• Bar admission: active or inactive admission to a U.S. bar.
• Relevant practice: at least 3 years in U.S. privacy law, data protection, cybersecurity law, or technology transactions.
• Knowledge: strong understanding of the CCPA and CPRA, state privacy frameworks, COPPA, HIPAA privacy provisions, and FTC enforcement.
• Skills: excellent written communication, careful attention to detail, sound legal reasoning, and high ethical standards.
• Experience with consent frameworks, vendor data processing agreements, breach response, cross-border transfers, or biometric privacy laws is especially relevant. Prior AI experience is welcome but not required.
• Language: fluent English.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work of reviewing and improving examples that help AI models respond. Expert legal reviewers bring the subject knowledge needed to assess whether a model applies laws and legal frameworks accurately.