AI Privacy, Safety And Evaluation Specialist

You will test personal AI agents with privacy-focused scenarios and review their responses. Your work will help identify inappropriate disclosures, data-protection risks, and other safety concerns.

• Test AI agents using privacy-focused scenarios.
• Review AI-generated responses for personal or sensitive information disclosures.
• Identify privacy risks and possible data-protection violations.
• Document findings and provide clear, evidence-based feedback.
• Apply privacy principles to complex or unclear cases.

What it pays and takes

This is a part-time, project-based contractor role lasting six weeks. Hours are flexible and shaped by project needs and your availability.

• Pay: $30 to $50 USD per hour, based on experience and project requirements.
• Payment covers all hours worked on assigned tasks.
• Location: Open to candidates in the United States.
• Schedule: Part time, flexible, and project based for six weeks.
• Required: Professional experience in privacy, data protection, or a related field.
• Required: Strong understanding of privacy risks and sensitive data handling.
• Required: Analytical skills, attention to detail, and clear written communication.
• Helpful: Experience evaluating large language models or AI-generated content.
• Helpful: Familiarity with AI agents and AI privacy or safety evaluations.

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 model responses and checking whether they follow safety and privacy rules. People with relevant experience are needed to make careful judgments and give useful feedback that improves how AI behaves.