Document Reviewer - Remote

YO IT Consulting


Date: 2 weeks ago
City: Jeddah
Contract type: Full time
Remote
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.

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