Document Reviewer

RemoteJobsOne; Zürich; Remote; CHF 36.000 - 69.000; Teilzeit

Zusammenfassung

RemoteJobsOne is seeking Document Reviewers for a fully remote contractor role based in Switzerland. You will review documents containing personal data to ensure accuracy and post-transformation quality, supporting high-stakes AI data training.

Responsibilities include spot-checking data for completeness, labeling issues, and documenting findings to drive privacy compliance and data integrity. Collaboration with project coordinators will clarify requirements and resolve ambiguities.

Qualifikationen

• Experience reviewing documents containing personal data.
• Knowledge of PII handling and privacy practices.
• Attention to detail and a methodical QA approach.
• Experience auditing large datasets.
• Strong written and verbal communication skills.
• Background in compliance or data privacy is advantageous.

Aufgaben

• Perform detailed reviews of documents containing personal identifiable information, ensuring accuracy and completeness post-transformation.
• Conduct spot-checks for missed information or inconsistencies within provided data sets.
• Identify and flag potential issues related to data integrity, privacy, or formatting.
• Document findings clearly and concisely, supporting continuous quality improvement efforts.
• Address qualitative questions as part of comprehensive spot-check reviews.
• Collaborate with project coordinators to clarify requirements or resolve ambiguities as needed.

Kenntnisse

PII handling

Data privacy

Attention to detail

Spot-checking

Communication skills

Qualitative reasoning

Compliance background

Jobbeschreibung

Pay: $31–$60/hr

Role Title: Document Reviewer

Role Type: Contractor

Location: Remote

This is a fully remote position, open to candidates based in Switzerland.

We are engaging Document Reviewers to contribute their expertise to a customer’s project involving high-stakes data integrity and security. 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. Contributors will conduct spot-checks of already transformed data, ensuring thorough review and validation of sensitive information, including personally identifiable data. This opportunity is ideal for professionals keen to make a tangible impact in data quality and privacy.

Scope of Work

1. Perform detailed reviews of documents containing personal identifiable information, ensuring accuracy and completeness post-transformation.
2. Conduct spot-checks for missed information or inconsistencies within provided data sets.
3. Identify and flag potential issues related to data integrity, privacy, or formatting.
4. Document findings clearly and concisely, supporting continuous quality improvement efforts.
5. Address qualitative questions as part of comprehensive spot-check reviews.
6. Collaborate with project coordinators to clarify requirements or resolve ambiguities as needed.

Preferred Qualifications

1. Proven expertise in document review, particularly with sensitive and confidential data.
2. Strong knowledge of personal identifiable information (PII) handling and data privacy practices.
3. Exceptional attention to detail and a methodical approach to quality assurance.
4. Experience with spot-checking and auditing large volumes of data.
5. Clear and effective written and verbal communication skills.
6. Ability to answer qualitative questions and provide rationale for findings.
7. Background in compliance, legal, or data privacy roles is advantageous.