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Document Reviewer Remote

YO AI Labs


Job Location:

Seattle, WA - USA

Monthly Salary: $ 30 - 60
Posted: 25 August 2026 (6 hours ago)
Application Deadline: 22 November 2026
Vacancies: 1 Vacancy

Job Summary

Document Reviewer

Job Type: Contractor
Location: Remote

Job Overview

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