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Remote Data Quality Reviewer Jobs in Exton, PA (NOW HIRING)

YO AI Labs

Document Reviewer - Remote

Philadelphia, PA · Remote

$30 - $60/hr

Remote Job Overview We are seeking detail-oriented Document Reviewers to support a project focused on data quality, privacy, and integrity. You will review transformed documents, identify issues ...

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Senior Clinical Data Risk Analyst

Blue Bell, PA · Remote

Senior Clinical Data Risk Analyst - United States (Remote) ICON is a global healthcare intelligence ... Conducting QC and oversight activities within the Central Monitoring team * Leading the evaluation ...

YO AI Labs

Medical Coder - Remote

Philadelphia, PA · Remote

$50 - $80/hr

... improve AI training data quality. Required Skills * Medical Coding * ICD-10 * CPT * CPC ... Clinical Documentation Review * Coding Accuracy & Compliance * Attention to Detail * Written ...

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How much do remote data quality reviewer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote data quality reviewer in Exton, PA is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $35.05 per hour, depending on experience, location, and employer.

What is a remote data quality reviewer?

A Remote Data Quality Reviewer is a professional who evaluates and ensures the accuracy, completeness, and reliability of data collected or processed by an organization, all while working from a remote location. Their duties often include checking data for errors, inconsistencies, or missing information, and recommending corrections or improvements. They may work with various types of data, such as customer records, survey responses, or financial information, depending on the industry. This role is crucial for maintaining high data standards and supporting decision-making processes within a company.

What are the key skills and qualifications needed to thrive as a remote data quality reviewer, and why are they important?

To thrive as a Remote Data Quality Reviewer, you generally need strong analytical abilities, attention to detail, and experience with data validation, often supported by a bachelor's degree in a relevant field such as statistics, computer science, or information management. Familiarity with data management tools, spreadsheet software (like Excel), and database systems, as well as knowledge of quality assurance frameworks, is typically required. Excellent written communication, critical thinking, and the ability to work independently are important soft skills for this remote position. These capabilities ensure accurate data assessment, help maintain data integrity, and contribute to reliable decision-making across organizations.

What are some common challenges faced by remote data quality reviewers, and how can they be addressed?

Remote Data Quality Reviewers often encounter challenges such as managing large data sets, maintaining focus during repetitive review tasks, and ensuring effective communication with distributed teams. Staying organized with clear workflow tools and setting regular check-ins with team members can help mitigate feelings of isolation and prevent errors. Additionally, leveraging automated validation tools and maintaining up-to-date documentation ensures consistency and accuracy in data review processes.

What cities near Exton, PA are hiring for Remote Data Quality Reviewer jobs?

Cities near Exton, PA with the most Remote Data Quality Reviewer job openings:

Remote Data Quality Reviewer jobs near you
Infographic showing various Remote Data Quality Reviewer job openings in Exton, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $52,681 per year, or $25.3 per hour.

Document Reviewer - Remote

YO AI Labs

Philadelphia, PA • Remote

$30 - $60/hr

Full-time

Posted yesterday

New

Job description

Document Reviewer

Job Type: Contractor
Location: Remote

Job Overview

We are seeking detail-oriented Document Reviewers to support a project focused on data quality, privacy, and integrity. You will review transformed documents, identify issues involving sensitive information, and perform quality spot-checks to ensure accurate and consistent results.

No prior AI experience is required.

Key Responsibilities
  • Review documents containing Personally Identifiable Information (PII) for accuracy and completeness.
  • Conduct spot-checks to identify missed information, inconsistencies, or transformation errors.
  • Identify and flag issues related to data integrity, privacy, formatting, and quality.
  • Document findings clearly and provide rationale for identified issues.
  • Answer qualitative questions during review and validation tasks.
  • Collaborate with project coordinators to clarify requirements and resolve ambiguities.
Required Skills
  • Personally Identifiable Information (PII)
  • Document Review
  • Attention to Detail
  • Spot-Checks
  • Issue Identification
  • Data Quality
  • Data Privacy
  • Quality Assurance
  • Written Communication
Preferred Qualifications
  • Experience reviewing sensitive, confidential, or regulated documents.
  • Strong understanding of PII handling and data privacy practices.
  • Experience auditing or spot-checking large volumes of data.
  • Methodical approach to quality assurance and error identification.
  • Strong written and verbal communication skills.
  • Ability to explain findings and provide clear reasoning.
  • Background in compliance, legal, data privacy, or eDiscovery is a plus.
Screening Questions
  1. How many years of document review or data quality experience do you have?
  2. Have you worked with documents containing PII or other sensitive information?
  3. What experience do you have with spot-checking or auditing large datasets?
  4. How do you identify and document data quality or privacy issues?
  5. Do you have experience in compliance, legal, data privacy, or eDiscovery?
  6. Are you comfortable answering qualitative questions and providing rationale for your findings?
  7. How soon can you start?