Data Privacy Specialist

You will review written scenarios involving personal and sensitive information. Your evaluations will help improve how privacy and data protection are handled in digital systems.

You will assess disclosure risks and data-handling issues, apply established privacy principles, document your findings, and recommend improvements.

• Review scenarios involving personal and sensitive information.
• Identify privacy risks, inappropriate disclosures, and data-handling issues.
• Evaluate complex scenarios against established privacy principles.
• Write clear, evidence-based judgments and recommendations.

What it pays and takes

This is a part-time, project-based contractor role lasting six weeks. The work focuses on reviewing written privacy scenarios and producing evaluations and recommendations.

• Pay: $30 to $60 USD per hour.
• Location: Open to candidates residing in the United States.
• Language: Professional fluency in English.
• Experience: Professional experience in data privacy, data protection, or information governance.
• Skills: Strong knowledge of privacy principles, sensitive data handling, and disclosure risks.
• Skills: Ability to identify privacy concerns and potential violations, with strong analytical, detail, and written communication skills.
• Helpful background: Familiarity with GDPR or CCPA and experience with privacy assessments, audits, or compliance reviews.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 4 screening questions.

About AI training work

AI training is the human work behind systems that learn from examples, including reviewing written content and rating model behavior. Privacy specialists are needed to apply professional judgment when training data and AI outputs involve sensitive information.