Remote Document Reviewer for PII & Data Quality

YO AI Labs; Chicago (IL); Remote; USD 28,000 - 48,000; Part time

Job summary

YO AI Labs is seeking detail-oriented Document Reviewers for a remote, contractor role focused on data quality, privacy, and integrity. You will review transformed documents containing PII, identify issues, and perform quality spot-checks to ensure accuracy and consistency.

No prior AI experience is required. Responsibilities include recognizing data privacy concerns, documenting findings with clear rationale, and coordinating with project staff to resolve ambiguities.

Qualifications

• 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 clearly and provide rationale for identified issues.
• Answer qualitative questions during review and validation tasks.

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 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.

Skills

PII handling

Document Review

Attention to Detail

Spot-checks

Issue Identification

Data Quality

Data Privacy

Quality Assurance

Written Communication

Job description

YO AI Labs is seeking detail-oriented Document Reviewers for a remote, contractor role focused on data quality, privacy, and integrity. You will review transformed documents containing PII, identify issues, and perform quality spot-checks to ensure accuracy and consistency.

No prior AI experience is required. Responsibilities include recognizing data privacy concerns, documenting findings with clear rationale, and coordinating with project staff to resolve ambiguities.