Remote Document QA Auditor - Data Privacy & AI Training

RemoteJobsOne; Los Angeles (CA); Remote; USD 43,000 - 83,000; Part time

Job summary

RemoteJobsOne is seeking a Document Reviewer for a fully remote role open to candidates in the United States. This contractor position focuses on reviewing documents containing PII after transformation and ensuring high-quality data for AI training.

The role requires meticulous attention to detail, clear written and verbal communication, and the ability to spot-check large data sets while documenting findings for quality improvements.

Qualifications

• Proven expertise in document review, particularly with sensitive and confidential data.
• Strong knowledge of personal identifiable information (PII) handling and data privacy practices.
• Exceptional attention to detail and a methodical approach to quality assurance.
• Experience with spot-checking and auditing large volumes of data.
• Clear and effective written and verbal communication skills.
• Ability to answer qualitative questions and provide rationale for findings.

Responsibilities

• Perform detailed reviews of documents containing personal identifiable information, ensuring accuracy and completeness post-transformation.
• Conduct spot-checks for missed information or inconsistencies within provided data sets.
• Identify and flag potential issues related to data integrity, privacy, or formatting.
• Document findings clearly and concisely, supporting continuous quality improvement efforts.
• Address qualitative questions as part of comprehensive spot-check reviews.
• Collaborate with project coordinators to clarify requirements or resolve ambiguities as needed.

Skills

Document review

PII handling

Data privacy

Attention to detail

Quality assurance

Written communication

Job description

RemoteJobsOne is seeking a Document Reviewer for a fully remote role open to candidates in the United States. This contractor position focuses on reviewing documents containing PII after transformation and ensuring high-quality data for AI training.

The role requires meticulous attention to detail, clear written and verbal communication, and the ability to spot-check large data sets while documenting findings for quality improvements.