Open role at a frontier AI lab
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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.
Key Responsibilities:
• 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.
Required Skills and Qualifications:
• 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.