Document Reviewer - Remote

YO IT Consulting; München; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

YO IT Consulting is seeking a Remote Document Reviewer to support AI training initiatives by reviewing large data sets, annotating and classifying content, and ensuring privacy compliance. You will follow strict guidelines, maintain traceable records, and collaborate with a client team to communicate findings clearly.

The role emphasizes high accuracy, attention to detail, and the ability to work independently in a remote setting. Prior experience with data QA and handling PII is preferred.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Document review

Auditing

Annotation

Redaction

Data classification

Quality assurance

Remote work

PII handling

Jobbeschreibung

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.