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Remote Data Quality Reviewer Jobs (NOW HIRING)

$15.50 - $20.50/hr

Data Entry Assistant - Entry Level / Remote Los Angeles, California, United States Job Openings ... Conduct data quality checks and resolve discrepancies in a timely manner. * Collaborate with other ...

Remote Data Entry Clerk

$17.50 - $23.25/hr

Review and verify data for completeness, accuracy, and any potential discrepancies. * Maintain the ... Generate reports, retrieve data, and perform regular data quality checks as required. * Adhere to ...

CLINICAL QUALITY REVIEWER (RN or LCSW) Job ID: 87049 Location: USA- Remote in approved states ... Exposure to healthcare data analysis or reporting Technical Skills * Proficiency with Microsoft ...

With a reputation for delivering high-quality projects on time and within budget, Stratabuilt is ... data entry - Review and organize data for accuracy and completeness - Identify and report any ...

Job Summary RN Clinical Quality Reviewer TEEMA Full-time Remote | Phoenix, AZ, United States ... Exposure to healthcare data analysis or reporting Technical Skills * Proficiency with Microsoft ...

Data Entry Representatives - Remote

$15.75 - $20.25/hr

About the job Data Entry Representatives - Remote Pet Insurance company is looking for 2 REMOTE ... reviews. * Job requirements: * Proficiency working in Excel and Google Sheets. * Excellent ...

The Coding Quality Reviewer shall report directly to the Internal Quality Control Director and will be responsible for accessing and reviewing the medical record documentation, coding and abstracting ...

Remote Data Entry Assistant - Junior

$17.25 - $22.75/hr

Perform regular data quality checks to ensure accuracy and integrity. * Organize and maintain ... We look forward to reviewing your application and potentially having you onboard as our newest ...

AVP - Data Quality

$160K - $210K/yr

You'll lead a team tasked with proactively querying databases, reviewing data and dashboards ... Full remote flexibility and asynchronous work culture * Unlimited PTO and fully paid sick leave

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Remote Data Quality Reviewer information

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

As of Jul 19, 2026, the average hourly pay for remote data quality reviewer in the United States is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $36.30 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 does a data quality reviewer do?

A data quality reviewer evaluates datasets to ensure accuracy, completeness, and consistency by identifying and correcting errors. They often use data management tools and follow established standards to maintain high data integrity, supporting reliable decision-making within 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.

How to make $1000 a week remote?

A Remote Data Quality Reviewer can earn $1000 or more weekly by working full-time hours, often 40 hours per week, and gaining experience or certifications in data management and quality assurance. Increasing income may involve taking on multiple clients, working for companies with higher pay rates, or developing specialized skills in data tools and validation processes.

How can I make 2000 a week working from home?

A Remote Data Quality Reviewer can potentially earn $2,000 per week by working full-time hours, often requiring strong attention to detail, data management skills, and familiarity with data validation tools. Increasing earnings may involve taking on multiple clients, gaining certifications, or working overtime, depending on the employer's pay structure and workload. Consistent high performance and efficiency are key to reaching this income level in remote data review roles.

How to identify fake data entry jobs?

To identify fake data entry jobs, verify the company's legitimacy through official websites and reviews, and be cautious of jobs that require upfront payments or promise unusually high pay for minimal work. Legitimate data entry roles typically do not ask for sensitive personal information early in the application process and provide clear job descriptions and contact details. Using reputable job boards and avoiding offers that seem too good to be true can help prevent scams.

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.
More about Remote Data Quality Reviewer jobs
What cities are hiring for Remote Data Quality Reviewer jobs? Cities with the most Remote Data Quality Reviewer job openings:
What are the most commonly searched types of Data Quality Reviewer jobs? The most popular types of Data Quality Reviewer jobs are:
What states have the most Remote Data Quality Reviewer jobs? States with the most job openings for Remote Data Quality Reviewer jobs include:
Infographic showing various Remote Data Quality Reviewer job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 76% Full Time, 3% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $54,583 per year, or $26.2 per hour.

Data Entry Assistant - Entry Level / Remote

Only Data Entry

Remote

$15.50 - $20.50/hr

Full-time

Posted 18 days ago


Job description

Data Entry Assistant - Entry Level / Remote

Los Angeles, California, United States Job Openings Data Entry Assistant - Entry Level / Remote

About the Job

CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER, FOR INSTRUCTIONS AFTER APPLYING

Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.

About Us:

We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis.

Responsibilities:

  • Accurately input, update, and maintain large volumes of data into our database systems.
  • Verify and cross-reference data to ensure its accuracy and completeness.
  • Conduct data quality checks and resolve discrepancies in a timely manner.
  • Collaborate with other teams to gather and clarify data requirements.
  • Maintain data confidentiality and adhere to data security protocols.
  • Contribute to process improvement initiatives to enhance data entry efficiency.