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ಹರ್ಡಲ್ಸ್ ದಾಟುವುದು

Data Quality Analyst

Crossing Hurdles

Remote · ಒಪ್ಪಂದ

ಅರ್ಜಿ ಸಲ್ಲಿಸುವವರಲ್ಲಿ ಮೊದಲಿಗರಾಗಿರಿ

ಅನುಭವ
ಯಾವುದೇ
ಸಂಬಳ
USD 63 – USD 119 / hour
ತೆರೆಯುವಿಕೆಗಳು
1
ಪೋಸ್ಟ್ ಮಾಡಲಾಗಿದೆ
17 ಗಂಟೆಗಳ ಹಿಂದೆ
ಕೆಲಸದ ಮೋಡ್
ಮನೆಯಿಂದ ಕೆಲಸ ಮಾಡಿ
ಅರ್ಹತೆ
Applicants who have experience in document review, auditing, annotation, redaction, or large-scale data classification and are comfortable working remotely on a contract basis.
ಪುನರಾರಂಭ
ಅರ್ಜಿ ಸಲ್ಲಿಸಲು ಕಡ್ಡಾಯ

ಕೆಲಸದ ವಿವರ

Role overview

This is a contract remote position focused on reviewing documents and data for quality, completeness, and compliance. The work centers on handling both structured and unstructured information carefully, with special attention to privacy-sensitive content.

Compensation is $63 to $119 per hour, and the expected workload is 10 to 40 hours each week.

Key responsibilities

  • Go through high volumes of structured and unstructured data to check that information is accurate and complete.
  • Spot data-quality concerns and any risks connected to personally identifiable information (PII).
  • Tag, sort, and remove or obscure sensitive information to support privacy and compliance requirements.
  • Work within established procedures and instructions for classification and validation.
  • Carry out quality checks to confirm data integrity and make sure outputs are correct.
  • Keep clear, detailed records of the documents reviewed and the actions taken for auditability.
  • Coordinate with the client team and communicate findings, issues, and suggestions clearly.

Requirements

  • Background in document review, auditing, annotation, redaction, or large-scale data classification.
  • Very strong attention to detail and the ability to stay accurate in repetitive work.
  • Understanding of how to manage and safeguard personally identifiable information (PII).
  • Strong written and spoken communication skills for reporting and coordination.
  • Ability to work carefully within complex rules and predefined taxonomies.
  • Experience with QA or validation tasks on large datasets.

Application process

  • The hiring flow includes an easy-apply step, followed by email updates and then resume review and an interview stage.

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