Document Reviewer - Remote

YO IT Consulting

Belgique

Sur place

EUR 35 000 - 45 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

YO IT Consulting is seeking a remote Document Reviewer to support contract work that trains next-generation AI systems. You will review both structured and unstructured data, ensuring accuracy and completeness while flagging quality issues and potential PII risks.

Responsibilities include annotating, classifying, and redacting sensitive information, following strict guidelines, performing QA checks, and maintaining traceable records. Collaboration with the client team is essential.

Qualifications

  • Proven experience in document review, auditing, annotation, redaction, or data classification at scale.
  • Exceptional attention to detail with high accuracy in repetitive tasks.
  • Familiarity with handling and protecting Personal Identifiable Information (PII).
  • Strong written and verbal communication to document findings and inform team.
  • Ability to follow complex guidelines and taxonomies.
  • Experience performing QA or validation on large data sets.
  • Ability to balance efficiency with precision in a remote work environment.

Responsabilités

  • 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 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.

Connaissances

Document review
Auditing
Annotation
Redaction
Data classification
QA/validation
Communication
PII handling
Remote work

Description du poste

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.
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