Document Reviewer for AI Training

This role focuses on enhancing the training of next-generation AI systems through meticulous data review. As a Document Reviewer, you will play a crucial part in shaping how AI models learn and perform by providing high-quality, real-world input.

• Carefully review large volumes of structured and unstructured data, ensuring accuracy and completeness.
• Identify and flag issues related to data quality, consistency, and potential risks involving Personal Identifiable Information (PII).
• Annotate, classify, and, where necessary, redact sensitive information to maintain privacy and compliance standards.
• Follow strict guidelines, taxonomies, and workflow processes for data categorization and validation.
• Perform quality assurance (QA) checks to verify data integrity and validate outputs.
• Maintain detailed records of reviewed documents and actions taken to ensure traceability and accountability.
• Collaborate with the customer''s team, providing clear and concise written and verbal communication about findings and recommendations.

• Proven experience in document review, auditing, annotation, redaction, or data classification at scale.
• Exceptional attention to detail with a high level of accuracy in repetitive tasks.
• Familiarity with handling and protecting Personal Identifiable Information (PII).
• Strong written and verbal communication skills, with the ability to document findings and communicate effectively with team members.
• Demonstrated ability to follow complex guidelines and adhere to established taxonomies.
• Experience performing QA or validation work on large data sets.
• Ability to balance efficiency with precision in a remote work environment.

• Background in legal, compliance, privacy, auditing, compliance, or information security domains.
• Prior experience supporting data-driven AI or machine learning projects.
• Comfort with collaboration tools and digital workflow management platforms.

Contract position, fully remote.

$63 - $119 per hour.

Open to candidates with relevant experience and skills.