Document Reviewer - Remote

ph3Job Title /h3 pDocument Reviewer /p h3Job Type /h3 pContract /p h3Location /h3 pRemote /p h3Job Summary /h3 pIn this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. /p h3Key Responsibilities /h3 ul liCarefully review large volumes of structured and unstructured data, ensuring accuracy and completeness. /li liIdentify and flag issues related to data quality, consistency, and potential risks involving Personal Identifiable Information (PII). /li liAnnotate, classify, and, where necessary, redact sensitive information to maintain privacy and compliance standards. /li liFollow strict guidelines, taxonomies, and workflow processes for data categorization and validation. /li liPerform quality assurance (QA) checks to verify data integrity and validate outputs. /li liMaintain detailed records of reviewed documents and actions taken to ensure traceability and accountability. /li liCollaborate with the customer's team, providing clear and concise written and verbal communication about findings and recommendations. /li /ul h3Required Skills And Qualifications /h3 ul liProven experience in document review, auditing, annotation, redaction, or data classification at scale. /li liExceptional attention to detail with a high level of accuracy in repetitive tasks. /li liFamiliarity with handling and protecting Personal Identifiable Information (PII). /li liStrong written and verbal communication skills, with the ability to document findings and communicate effectively with team members. /li liDemonstrated ability to follow complex guidelines and adhere to established taxonomies. /li liExperience performing QA or validation work on large data sets. /li liAbility to balance efficiency with precision in a remote work environment. /li /ul h3Preferred Qualifications /h3 ul liBackground in legal, compliance, privacy, auditing, compliance or information security domains. /li liPrior experience supporting data-driven AI or machine learning projects. /li liComfort with collaboration tools and digital workflow management platforms. /li /ul /p #J-18808-Ljbffr