Document Reviewer - Remote

YO IT Consulting; Auckland; On-site; NZD 60,000 - 90,000; Full time

Job summary

YO IT Consulting is seeking a remote Document Reviewer for a contract role to support AI training. You will review large volumes of documents to ensure accuracy, identify potential risks with PII, annotate and classify data, and redact when necessary according to strict guidelines.

You will perform QA checks, maintain detailed records for traceability, and collaborate with the customer team to communicate findings and recommendations clearly, all from a remote setting.

Qualifications

• Experience in reviewing documents at scale with high accuracy.
• Ability to annotate and classify data according to guidelines.
• Familiarity with protecting Personal Identifiable Information (PII).

Responsibilities

• Carefully review large volumes of data for accuracy and completeness.
• Annotate, classify, and redact sensitive information as required.
• Follow strict taxonomies and workflows for data categorization and validation.
• Perform QA checks to ensure data integrity and traceability.
• Maintain records of reviewed documents and actions for auditability.
• Communicate findings and recommendations clearly with the customer team.

Skills

Document review

Data annotation

PII handling

QA / validation

Remote work

Follow guidelines

Job description

Job Title: Document Reviewer

Job Type: Contract

Location: Remote

Job Summary: 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.

Preferred Qualifications

• 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.