[Hiring] Document Reviewer @YO AI Labs

Role Description

We are seeking detail-oriented Document Reviewers to support a project focused on data quality, privacy, and integrity. You will review transformed documents, identify issues involving sensitive information, and perform quality spot-checks to ensure accurate and consistent results. No prior AI experience is required.

Key Responsibilities

• Review documents containing Personally Identifiable Information (PII) for accuracy and completeness.
• Conduct spot-checks to identify missed information, inconsistencies, or transformation errors.
• Identify and flag issues related to data integrity, privacy, formatting, and quality.
• Document findings clearly and provide rationale for identified issues.
• Answer qualitative questions during review and validation tasks.
• Collaborate with project coordinators to clarify requirements and resolve ambiguities.

Qualifications

• Personally Identifiable Information (PII)
• Document Review
• Attention to Detail
• Spot-Checks
• Issue Identification
• Data Quality
• Data Privacy
• Quality Assurance
• Written Communication

Preferred Qualifications

• Experience reviewing sensitive, confidential, or regulated documents.
• Strong understanding of PII handling and data privacy practices.
• Experience auditing or spot-checking large volumes of data.
• Methodical approach to quality assurance and error identification.
• Strong written and verbal communication skills.
• Ability to explain findings and provide clear reasoning.
• Background in compliance, legal, data privacy, or eDiscovery is a plus.

Screening Questions

• How many years of document review or data quality experience do you have?
• Have you worked with documents containing PII or other sensitive information?
• What experience do you have with spot-checking or auditing large datasets?
• How do you identify and document data quality or privacy issues?
• Do you have experience in compliance, legal, data privacy, or eDiscovery?
• Are you comfortable answering qualitative questions and providing rationale for your findings?
• How soon can you start?