Document Reviewer - Remote

YO IT Consulting; Boston (MA); On-site; USD 60,000 - 80,000; Part time

Job summary

YO IT Consulting is seeking a Document Reviewer to join their remote team, where you'll apply your expertise to train next-generation AI systems. Your tasks will involve reviewing large volumes of data, ensuring accuracy while taking necessary privacy measures.

Successful candidates will have experience in document review, exceptional attention to detail, and the ability to communicate effectively. This role supports AI projects, making your contributions vital for quality assurance.

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.
• 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.

Responsibilities

• Carefully review large volumes of structured and unstructured data.
• Identify and flag issues related to data quality and risks involving PII.
• Annotate, classify, and redact sensitive information for compliance.
• Follow strict guidelines for data categorization and validation.
• Perform quality assurance checks to verify data integrity.
• Maintain detailed records of reviewed documents.
• Collaborate with the customer's team and communicate findings.

Skills

Document review experience

Attention to detail

Data classification

Communication skills

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.