Data Privacy Analyst - Remote
YO AI Labs
Job Description
Job Description
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
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