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Data Quality Reviewer Jobs (NOW HIRING)

Welocalize, Inc.

Data Quality Lead

San Francisco, CA

For Privacy Policy please review here Job Responsibilities: The ideal candidate will possess both ... Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ...

Curant Health

Data Quality Analyst

Smyrna, GA · On-site

Position Summary Curant Health is seeking a highly skilled Data Quality Analyst with strong ... For further information, please review the Know Your Rights notice from the Department of Labor.

Welocalize, Inc.

Data Quality Lead

New York, NY · On-site

For Privacy Policy please review here Job Responsibilities: The ideal candidate will possess both ... Lead, mentor, and grow a team of data annotators and quality analysts. * Ensure team members are ...

Welocalize, Inc.

Data Quality Analyst

New York, NY · On-site

For Privacy Policy please review here Job Responsibilities: The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language ...

Booz Allen Hamilton

Data Quality Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242630 Data Quality Engineer The Opportunity: Create a long-term data quality strategy that ... reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors ...

Komodo Health

Senior Data Quality Analyst

New York, NY · On-site

This is where the Senior Data Quality Analyst comes in. You'll be the independent voice on data ... Weekly publication review preparation: Assemble the execution summary, test coverage audit, and ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data ... Identify and flag ambiguous or edge-case scenarios for review by the ML team * Maintain high ...

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Data Quality Reviewer information

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How much do data quality reviewer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for 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 are typical daily tasks and responsibilities for a Data Quality Reviewer?

As a Data Quality Reviewer, your day-to-day responsibilities typically include reviewing data sets for accuracy and completeness, identifying discrepancies, and collaborating with data owners or team members to resolve issues. You may also document quality checks, develop reports on data integrity, and recommend improvements to data collection and storage processes. Additionally, you’ll often work closely with data analysts, IT staff, and business stakeholders to ensure data quality aligns with project goals and compliance standards. The role requires balancing independent data reviews with team-based problem solving, making it both detail-oriented and collaborative.

What is a Data Quality Reviewer job?

A Data Quality Reviewer ensures the accuracy, consistency, and integrity of data within an organization. They review datasets for errors, missing information, and inconsistencies, often using validation rules and statistical methods. Their role is critical in maintaining high data standards for analysis, reporting, and decision-making. They collaborate with data analysts, engineers, and business teams to improve data quality.

What does a data quality reviewer do?

A data quality reviewer evaluates datasets to ensure accuracy, completeness, and consistency. They identify and correct errors, validate data against standards, and often use tools like Excel or data management software to maintain data integrity in organizations.

Is data quality a good career?

A career as a Data Quality Reviewer involves assessing and ensuring the accuracy, completeness, and consistency of data within organizations. It often requires attention to detail, familiarity with data management tools, and knowledge of data standards, making it a stable and in-demand role in data-driven industries.

How much does a clinical data reviewer make?

A clinical data reviewer typically earns between $50,000 and $80,000 annually, depending on experience, location, and the complexity of the data they handle. Salaries can increase with certifications, such as CDMP, and familiarity with data management tools like SAS or SQL.

What is a data reviewer?

A data reviewer is a professional responsible for examining and validating data to ensure accuracy, consistency, and completeness. They often use data management tools and follow established quality standards to identify and correct errors in datasets, supporting data integrity for decision-making.

What are the key skills and qualifications needed to thrive in the Data Quality Reviewer position, and why are they important?

To thrive as a Data Quality Reviewer, you need a strong attention to detail, analytical skills, and a background in data management or a related field, often supported by a bachelor’s degree. Familiarity with data quality tools such as Informatica, SQL databases, and Excel, as well as understanding data governance frameworks, is highly beneficial. Excellent communication, organizational skills, and a problem-solving mindset distinguish top performers in this role. These abilities are vital to accurately identify, assess, and resolve data issues, ensuring that organizational decisions are based on reliable information.

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Data Quality Reviewer jobs near you
Data Quality Lead

Data Quality Lead

Welocalize, Inc.

San Francisco, CA

Full-time

Posted 7 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

335th of 428 rated business services

Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login

When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS.

Thank you!

NOTICE:For Privacy Policy please review here

Job Responsibilities:

The ideal candidate will possess both technical prowess in machine learning and natural language processing, along with strong leadership skills to guide and mentor their team.

Key Responsibilities:

Team Leadership and Management:

  • Lead, mentor, and grow a team of data annotators and quality analysts.
  • Ensure team members are trained, informed, and adhere to company standards and best practices.
  • Oversee team performance, set goals, and conduct regular evaluations.

Strategic Oversight:

  • Collaborate with senior management to define strategic goals and deliverables.
  • Allocate resources and tasks efficiently among team members.
  • Act as a bridge between the annotation team and other departments, ensuring effective communication.

Quality Assurance and Analysis:

  • Oversee quality assurance processes and set benchmarks for performance and accuracy.
  • Review and approve detailed reports on findings prepared by team members.
  • Drive continuous improvement initiatives within the team based on analytics and performance metrics.

Technical Expertise:

  • Stay updated with the latest in machine learning, data annotation, and natural language processing.
  • Address complex technical challenges faced by the team.
  • Provide guidance on advanced annotation techniques and quality analysis.

Linguistic and NLP Leadership:

  • Guide the team in applying best practices in NLP and linguistics.
  • Ensure consistent linguistic accuracy across all processed and annotated data.

Education: Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Prior experience in a leadership role within a data annotation or machine learning team.
  • Proven track record of team management, mentorship, and performance optimization.
  • Strong analytical skills with the ability to derive actionable insights from data.
  • Deep understanding of machine learning models, data annotation, and quality assurance.
  • Excellent communication and interpersonal skills.

Additional Job Details:

Additional Information:

This role primarily focuses on English US data sets; however, having experience with translation or multi-lingual data sets can be advantageous.

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