Remote Document Reviewer: PII & Data Quality

AI Trainer Jobs; United States; Remote; USD 42,000 - 64,000; Part time

Job summary

micro1 is a leading AI data lab focused on training frontier models and evaluating AI agents. We are seeking a Contract Document Reviewer to validate data integrity and privacy on high-stakes projects from a remote location.

In this role, you will perform spot-checks of transformed data, identify issues, and document findings to help improve quality and privacy practices across our systems.

Qualifications

• Proven expertise in document review, particularly with sensitive and confidential data.
• Strong knowledge of personal identifiable information handling and data privacy practices.
• Exceptional attention to detail and a methodical approach to quality assurance.
• Experience with spot-checking and auditing large volumes of data.
• Clear and effective written and verbal communication skills.
• Background in compliance, legal, or data privacy roles is advantageous.

Responsibilities

• Perform detailed reviews of documents containing personal identifiable information, ensuring accuracy and completeness post-transformation.
• Conduct spot-checks for missed information or inconsistencies within provided data sets.
• Identify and flag potential issues related to data integrity, privacy, or formatting.
• Document findings clearly and concisely, supporting continuous quality improvement efforts.
• Address qualitative questions as part of comprehensive spot-check reviews.
• Collaborate with project coordinators to clarify requirements or resolve ambiguities as needed.

Skills

PII handling

Document review

Attention to detail

Spot-checks

Identify issues

Job description

micro1 is a leading AI data lab focused on training frontier models and evaluating AI agents. We are seeking a Contract Document Reviewer to validate data integrity and privacy on high-stakes projects from a remote location.

In this role, you will perform spot-checks of transformed data, identify issues, and document findings to help improve quality and privacy practices across our systems.