1

Data Quality Jobs in California (NOW HIRING)

Data Quality Analyst - Creativity Apps

Culver City, CA

$137K - $250K/yr

  • Medical

  • Dental

  • Retirement

The Creativity Apps team is looking for a Data Quality Analyst who will focus on ensuring quality delivery of data, building a new data integrity framework, and developing reports to increase the ...

Data Quality Analyst - Creativity Apps

Culver City, CA

$137K - $250K/yr

  • Medical

  • Dental

  • Retirement

The Creativity Apps team is looking for a Data Quality Analyst who will focus on ensuring quality delivery of data, building a new data integrity framework, and developing reports to increase the ...

Data Quality Analyst - Creativity Apps

Culver City, CA

$144K - $263K/yr

  • Medical

  • Dental

  • Retirement

The Creativity Apps team is looking for a Data Quality Analyst who will focus on ensuring quality delivery of data, building a new data integrity framework, and developing reports to increase the ...

The Data Quality team owns the standards, guidelines, and audit infrastructure that ensure our training data meets the bar our AI systems require. As a Project Coordinator, you'll own a full project ...

The Data Quality team owns the standards, guidelines, and audit infrastructure that ensure our training data meets the bar our AI systems require. As a Project Coordinator, you'll own a full project ...

Operations Specialist - Data & Quality

Woodland, CA

$66K - $96K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Operations Specialist - Data & Quality is responsible for ensuring data integrity, process compliance, and continuous improvement across field, greenhouse, and cage operations. This role serves ...

Showing results 21-40

Data Quality information

See California salary details

$16

$40

$70

How much do data quality jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data quality in California is $40.89, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $53.61 per hour, depending on experience, location, and employer.

What is a data quality?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a data quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What are the key skills and qualifications needed to thrive in a data quality position, and why are they important?

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

What is the work of data quality?

Data quality involves ensuring that data is accurate, complete, consistent, and reliable for analysis and decision-making. Data quality professionals often use tools like data profiling and validation techniques to identify and correct errors, maintaining high standards for data integrity within organizations.

What are the most commonly searched types of Data Quality jobs in California?

The most popular types of Data Quality jobs in California are:

What cities in California are hiring for Data Quality jobs?

Cities in California with the most Data Quality job openings:

Infographic showing various Data Quality job openings in California as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $85,059 per year, or $40.9 per hour.

Data Quality Analyst - Bilingual (French)

Welo Data

San Francisco, CA

$38/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• Execute Data labelling and annotation tasks across speech and voice datasets.
• Work with audio and language data, including transcription, categorization, and tagging.
YOU ARE A FIT IF YOU’RE…
• A French speaker with strong written communication skills
• Experienced in data labelling, annotation, content review, or similar detail-oriented work (2-4 year preferred)
• A Bachelor's degree holder
PROJECT DETAILS
• Location: 100% Onsite (Bay Area, Seattle, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $38 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.