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Data Qa Jobs in California (NOW HIRING)

Phantom AI

Data QA Analyst

Mountain View, CA · Hybrid

Phantom AI is currently looking for a Data QA Analyst to join our team in Mountain View, California. This role is responsible for maintaining the quality of datasets and improving how Phantom AI ...

Phantom AI

Data QA Analyst

Mountain View, CA · On-site

Phantom AI is currently looking for a Data QA Analyst to join our team in Mountain View, California. This role is responsible for maintaining the quality of datasets and improving how Phantom AI ...

Phantom AI

Data QA Analyst

Mountain View, CA · Hybrid

Phantom AI is currently looking for a Data QA Analyst to join our team in Mountain View, California. This role is responsible for maintaining the quality of datasets and improving how Phantom AI ...

Apple

ML Data QA Lead, MLO

Cupertino, CA

$120K - $249K/yr

We are looking for a talented individual to drive data quality assurance for the ML features we support, working closely with our Data Program Managers, Data Engineers, and R&D partners to ensure ...

Apple

ML Data QA Lead, MLO

Cupertino, CA · On-site

We are looking for a talented individual to drive data quality assurance for the ML features we support, working closely with our Data Program Managers, Data Engineers, and R&D partners to ensure ...

Hirekeyz Inc

QA Lead Automation

Irvine, CA · On-site

Seeking a Senior Specialist with 7 to 11 years of experience in Data Test Automation specializing ... and QA teams to identify testing requirements and resolve issues Monitor and report on test ...

Felton Institute

Quality Assurance Data Manager

Oakland, CA · On-site

$100K - $130K/yr

Quality Assurance Data Manager (Part Time) Triage, Consultation, and Wellness Response Team (TCWRT) Mental Health and Wellness (MHW) Program - AB 109 Reentry Services Agency Overview Felton Institute ...

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Data Qa information

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 data QA a difficult job?

Data QA (Quality Assurance) involves reviewing and testing data for accuracy, consistency, and completeness, which can require attention to detail and analytical skills. The difficulty depends on the complexity of the data, the tools used, and the specific requirements of the role, but it generally involves systematic processes and knowledge of data management practices.

What does a data QA do?

A data QA (Quality Assurance) specialist reviews and tests data to ensure accuracy, consistency, and completeness. They identify and report data issues, often using tools like SQL or data validation software, to maintain data quality for analysis and decision-making.

What are popular job titles related to Data Qa jobs in California?

For Data Qa jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Qa jobs in California look for?

The top searched job categories for Data Qa jobs in California are:

What cities in California are hiring for Data Qa jobs?

Cities in California with the most Data Qa job openings:

Data Qa jobs near you
Infographic showing various Data Qa job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data QA Analyst

Phantom AI

Mountain View, CA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

About Us

We've built cost-effective level 2/3 solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and  Emergency Lane Support is the first priority before tackling a fully self-driving vehicle. Our main customers are  Tier 1 automotive manufacturers who are focused on delivering level 2/3 solutions and in the future, will deliver full autonomy. We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experience shipping ADAS systems at a volume production scale.  

At Phantom AI, we've built a team of incredibly talented and ambitious people challenging the norm in the automotive industry. If you feel that you have the passion, commitment, and drive to challenge the status quo within the automotive industry, we would love to hear from you. 

Job Summary

  • Phantom AI is currently looking for a Data QA Analyst to join our team in Mountain View, California. This role is responsible for maintaining the quality of datasets and improving how Phantom AI manages and scales its labeling efforts. You'll work closely with engineering, product, and external partners, and will be expected to use your judgment to identify issues, prioritize work, and help drive quality improvements across projects.

Responsibilities

  • Review annotated images and sensor data to ensure they meet quality standards and labeling guidelines.
  • Identify quality issues, determine root causes, and work with internal teams and external vendors to resolve them and prevent recurrence.  
  • Provide clear feedback to labeling teams, contributing to improvements in labeling tools, workflows, and guidelines.  
  • Help define, maintain, and evolve QA processes and documentation to support consistency as projects scale.  
  • Make day-to-day decisions on quality standards, edge cases, and review outcomes


Required Qualifications

  •  Strong attention to detail and ability to manage ongoing quality work with a high level of accuracy.  - Ability to learn new tools and workflows quickly and apply them effectively.  
  • Clear and direct communication skills, with the ability to work across teams and with external partners.  - Demonstrated ability to take ownership of work, make informed decisions, and follow through independently.  
  • Interest in AI, data quality, or technical systems. 
  • Interest in growing into more technical or cross-functional roles over time.


Preferred Qualifications

  • 1+ years of experience in data annotation or labeling within an automotive or autonomous vehicle environment. 
  • Experience working with QA processes, tools (e.g., Labelbox or similar), and supporting process improvements.


Benefits

We offer our employees a comprehensive benefits package including:

  • Medical, dental, and vision coverage
  • Office snacks & reimbursable meals*
  • Paid Time Off
  • FSA
  • 401K


Work Type

Hybrid - Phantom AI follows this type of working experience to allow employees the flexibility to work weekly at the office 4x and from home 1x.


Equal Opportunity for Diversity & Inclusion

Phantom AI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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