What are the responsibilities and job description for the Data Privacy Analyst - Remote position at YO AI Labs?
Data Privacy Analyst
Job Type: Contractor
Location: Remote
We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting sensitive information. In this role, you will review transformed datasets and documents, identify improperly handled Personally Identifiable Information (PII), and perform detailed quality checks to ensure privacy standards are consistently maintained.
Key Responsibilities- Conduct spot-checks of transformed datasets to verify proper redaction, masking, or anonymization of PII.
- Review documents and datasets for sensitive or personally identifiable information.
- Identify missed, incorrectly handled, or improperly redacted sensitive data.
- Evaluate data against established privacy and quality standards.
- Document discrepancies, findings, and observations using provided tools and templates.
- Provide clear and actionable feedback to improve data privacy and review quality.
- Maintain confidentiality and accuracy when working with sensitive information.
- Strong understanding of PII, data privacy, and information protection practices.
- Experience with document review, quality assurance, eDiscovery, or compliance processes.
- Strong attention to detail and ability to identify subtle data privacy issues.
- Experience working with sensitive or confidential information.
- Strong analytical and written communication skills.
- Ability to perform repetitive and detailed spot-checks while maintaining consistent accuracy.
- Comfortable working independently in a remote environment.
- Background as a Paralegal, eDiscovery Specialist, Privacy Analyst, Information Governance Specialist, Compliance Manager, or Legal Document Review Lead.
- Experience with legal document review, litigation support, or managed legal services.
- Familiarity with data privacy regulations and compliance requirements.
- Experience with contract review or legal quality assurance.
- Experience working in high-stakes environments involving sensitive data.
PII | Data Privacy | Document Review | Spot Checks | eDiscovery | Quality Assurance | Data Redaction | Data Anonymization | Compliance | Attention to Detail | Sensitive Data Handling