Document Reviewer - Remote
<strong>Job Description<br><br></strong><strong>Job Title:</strong> Document Reviewer<br><br><strong>Job Type:</strong> Contract<br><br><strong>Location:</strong> Remote<br><br><strong>Job Summary:</strong> In 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.<br><br><strong>Key Responsibilities<br><br></strong><ul><li>Carefully review large volumes of structured and unstructured data, ensuring accuracy and completeness.</li><li>Identify and flag issues related to data quality, consistency, and potential risks involving Personal Identifiable Information (PII).</li><li>Annotate, classify, and, where necessary, redact sensitive information to maintain privacy and compliance standards.</li><li>Follow strict guidelines, taxonomies, and workflow processes for data categorization and validation.</li><li>Perform quality assurance (QA) checks to verify data integrity and validate outputs.</li><li>Maintain detailed records of reviewed documents and actions taken to ensure traceability and accountability.</li><li>Collaborate with the customer's team, providing clear and concise written and verbal communication about findings and recommendations.<br><br></li></ul><strong>Required Skills And Qualifications<br><br></strong><ul><li>Proven experience in document review, auditing, annotation, redaction, or data classification at scale.</li><li>Exceptional attention to detail with a high level of accuracy in repetitive tasks.</li><li>Familiarity with handling and protecting Personal Identifiable Information (PII).</li><li>Strong written and verbal communication skills, with the ability to document findings and communicate effectively with team members.</li><li>Demonstrated ability to follow complex guidelines and adhere to established taxonomies.</li><li>Experience performing QA or validation work on large data sets.</li><li>Ability to balance efficiency with precision in a remote work environment.<br><br></li></ul><strong>Preferred Qualifications<br><br></strong><ul><li>Background in legal, compliance, privacy, auditing, compliance or information security domains.</li><li>Prior experience supporting data-driven AI or machine learning projects.</li><li>Comfort with collaboration tools and digital workflow management platforms.</li></ul>
