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Data Qa Jobs (NOW HIRING)

State of Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Internship - Non Paid Job Number: 4301-21-Data Quality Intern Department: Health and Human Services ... Assurance Unit Maximum of 40 hours a week Required Education and Experience At the time of ...

NAVA Software Solutions

QA Engineer

Houston, TX · On-site

NAVA Software solutions is looking for a QA Engineer Details: QA Engineer Location: Houston, TX (2 ... Focused on Data Validation * Strong SQL skills * Any tools for data quality/ validation

Virtusa

Quality Assurance Lead

Minneapolis, MN · On-site

Quality Assurance Lead Workstream Operational Excellence & Offshore Delivery Role Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit ...

Virtusa

Quality Assurance Lead

Minneapolis, MN · On-site

Quality Assurance Lead Workstream Operational Excellence & Offshore Delivery Role Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit ...

Mindlance

QA Analyst or Data Tester

Washington, DC · On-site

Title: QA Analyst or Data Tester Duration: 12 Months - Long Term Location: Washington, DC 20433 (4 days onsite from day 1) Overview: Responsible for independently verifying that data transformations ...

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Data Qa information

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$44.5K

$129.7K

$177.5K

How much do data qa jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data qa in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the data QA role?

A Data QA (Quality Assurance) role involves reviewing and testing data to ensure accuracy, completeness, and consistency. Data QA professionals often use tools like SQL and data validation software to identify errors and verify data integrity within datasets or databases, supporting reliable data analysis and decision-making.

Will AI replace a data analyst?

AI can automate certain data analysis tasks, such as data cleaning and basic reporting, but it is unlikely to fully replace data analysts. Data analysts bring critical thinking, domain knowledge, and interpretative skills that complement AI tools, making their role essential for complex insights and decision-making. Proficiency in tools like SQL, Excel, and data visualization software remains important for the job.

What are top 3 skills for a QA analyst?

A QA analyst should have strong attention to detail, proficiency in testing tools and scripting languages, and good communication skills to document and report issues effectively. Knowledge of software development life cycle (SDLC) and familiarity with automation frameworks are also valuable. These skills help ensure software quality and efficient testing processes.

What is the difference between Data Qa vs Data Analyst?

AspectData QaData Analyst
Required CredentialsBasic understanding of testing tools, some certificationsDegree in data-related fields, certifications like Microsoft or SAS
Work EnvironmentQuality assurance teams, software testing environmentsData analysis teams, business intelligence settings
Employer & Industry UsageTech companies, software development firmsFinance, marketing, healthcare, and other industries
Common Search & ComparisonOften compared for data quality rolesMore focused on data insights and reporting

Data Qa professionals primarily focus on testing and ensuring data quality, often working within QA teams to validate data accuracy and integrity. Data Analysts, on the other hand, analyze data to generate insights, create reports, and support decision-making. While both roles work with data, Data Qa emphasizes quality assurance processes, whereas Data Analysts focus on data interpretation and analysis.

Is QA still in demand?

Quality Assurance (QA) roles, including Data QA, remain in demand as companies prioritize data accuracy and software quality. Skills in testing tools, scripting, and understanding data workflows are valuable, and demand is expected to grow with increasing reliance on data-driven decision-making.
More about Data Qa jobs
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What states have the most Data Qa jobs? States with the most job openings for Data Qa jobs include:
What job categories do people searching Data Qa jobs look for? The top searched job categories for Data Qa jobs are:
Data Qa jobs near you
Senior Manager of Quality Assurance, AIML Data Operations

Senior Manager of Quality Assurance, AIML Data Operations

Apple

Cupertino, CA • On-site

Full-time

Posted 25 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences - quickly.
The AIML team is looking for a passionate, detail-obsessed Senior Manager of Quality Assurance to lead the QA function within our Data Annotation operations. This is a rare opportunity to directly shape the quality standards that underpin the intelligent systems used by hundreds of millions of people every day.
You will lead a team of QA professionals, define and defend data quality standards, and champion a culture of rigorous, scalable quality assurance across global annotation workflows. If you thrive at the intersection of operational excellence, data quality, and cross-functional leadership - this role was built for you.
Description
As Senior Manager of QA for Data Annotation, you will own the end-to-end quality assurance strategy for annotation pipelines that feed directly into Apple's AI and machine learning models. You will partner closely with Data Science, Engineering, and Operations leadership to ensure that data quality is not an afterthought - it is a foundation.
You will manage and develop a team of QA specialists and leads, set clear quality metrics, and build scalable processes that grow with our annotation programs. Your decisions will have measurable, real-world impact on the performance of Apple Intelligence products.
Minimum Qualifications
Bachelor's degree in a relevant field (Computer Science, Linguistics, Data Science, Operations, or equivalent)
8+ years of experience in quality assurance, data operations, or a related field
10+ years of people management experience leading QA or data operations teams
Demonstrated experience defining and operating QA programs for data annotation or content labeling at scale
Solid understanding of AIML concepts, with practical knowledge of how data quality affects model performance
Strong analytical skills with experience using data to measure, communicate, and drive quality improvements
Professional fluency in English; excellent written and verbal communication skills across all levels of an organization
Ability to travel internationally when required
Preferred Qualifications
Master's degree or advanced certification in a relevant discipline
Experience with annotation platforms and QA tooling (e.g., Label Studio, Scale AI, Surge, Toloka, or similar)
Familiarity with inter-annotator agreement methodologies (Cohen's Kappa, Krippendorff's Alpha, etc.)
Experience managing QA for multilingual or multimodal annotation datasets
Track record of building or scaling QA programs in a globally distributed, vendor-augmented operating model
Passion for Apple Intelligence products and a deep appreciation for the role of data quality in user experience
Experience with statistical sampling techniques and quality auditing frameworks
Familiarity with RLHF (Reinforcement Learning from Human Feedback) data workflows

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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