Remote PII & Data Quality Reviewer

YO AI Labs; Town of Schroeppel (NY); Remote; USD 28,000 - 41,000; Full time

Job summary

YO AI Labs is seeking a detail-oriented Document Reviewer to support a remote 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, but you should be comfortable documenting findings with clear rationale and collaborating with project coordinators to resolve ambiguities.

Qualifications

• Experience handling PII and sensitive information.
• Strong attention to detail with clear written communication.
• Familiarity with data privacy practices is a plus.
• Experience auditing or spot-checking large datasets is beneficial.
• Methodical approach to QA and error identification.
• Ability to explain findings and provide clear reasoning.

Responsibilities

• Review documents containing 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 with clear rationale for identified issues.
• Answer qualitative questions during review and validation tasks.
• Collaborate with project coordinators to clarify requirements and resolve ambiguities.

Skills

PII

Document Review

Attention to Detail

Spot-Checks

Issue Identification

Data Quality

Data Privacy

Quality Assurance

Written Communication

Job description

YO AI Labs is seeking a detail-oriented Document Reviewer to support a remote 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, but you should be comfortable documenting findings with clear rationale and collaborating with project coordinators to resolve ambiguities.