Document Reviewer for AI Training

Apply careful judgment and domain expertise to review and curate large volumes of documents that train next-generation AI systems. You will verify data quality, protect sensitive information, and produce traceable annotations that shape how models learn, reason, and perform. The work supports a global AI data lab that converts real-world subject matter expertise into high-quality training data and evaluations across domains such as finance, healthcare, and engineering.

• Review large volumes of structured and unstructured documents for accuracy, completeness, and consistency.
• Identify and flag data quality issues, inconsistencies, and potential risks involving Personal Identifiable Information, or PII.
• Annotate, classify, and redact sensitive content where required to maintain privacy and compliance standards.
• Follow detailed guidelines, taxonomies, and workflow processes for data categorization and validation.
• Perform quality assurance checks to validate outputs and ensure data integrity.
• Maintain detailed records of reviewed documents and actions taken for traceability and accountability.
• Collaborate with the customer team, delivering clear written and verbal summaries of findings and recommendations.

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

Preferred Qualifications

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

• Employment type: Independent contractor, remote.
• Workplace: Fully remote collaboration with customer teams as required.

• Pay range: 63 to 119 USD per hour.

• Familiarity with and ability to handle PII is required due to privacy and compliance responsibilities.
• This role is currently closed and not accepting applications. No application steps are available at this time.