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Remote Qa Analyst Jobs in California (NOW HIRING)

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

This leadership role is open to both hybrid and remote candidates, with a preference for those who ... Experience managing QA operations, calibration sessions, audits, and quality improvement ...

New

Arbital Health

QA Automation Engineer

San Francisco, CA · On-site +1

$140K - $160K/yr

You will collaborate closely with developers and product teams to analyze requirements, design ... the QA automation lifecycle and continuously enhance the automation infrastructure Manage and ...

New

Arbital Health

QA Automation Engineer

San Francisco, CA · On-site +1

$140K - $160K/yr

You will collaborate closely with developers and product teams to analyze requirements, design ... QA automation lifecycle and continuously enhance the automation infrastructure ● Manage and ...

New

Upshift

Quality Assurance Specialist

San Francisco, CA · On-site +1

$13/hr

Who we are: Modernize is one of the fastest growing energy efficiency marketplaces in the USA. We've been in business for 11 years and last year we helped over 250,000 Americans save money by going ...

Upshift

Quality Assurance Specialist

San Francisco, CA · On-site +1

$13/hr

Who we are: Modernize is one of the fastest growing energy efficiency marketplaces in the USA. We've been in business for 11 years and last year we helped over 250,000 Americans save money by going ...

YO AI Labs

AI Consulting Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

YO AI Labs

AI Consulting Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

YO AI Labs

AI Consulting Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

YO AI Labs

AI Consulting Expert - Remote

San Francisco, CA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

We Vote

QA Automation Engineer - Volunteer

Oakland, CA · On-site +1

You have experience working in a remote team environment * A willingness to work with and support other volunteers. * You can commit to 6+ hours per week during our core team hours M-F 8 a.m. - 6 p.m ...

New

Enrollment123

QA Automation Engineer

Laguna Hills, CA · On-site +1

$150K - $175K/yr

Location: e123 is a Work From Anywhere company based in southern California with an entirely remote ... The QA Automation Engineer is a role on our engineering team focused on test strategy and ...

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Remote Qa Analyst information

See California salary details

$15

$39

$62

How much do remote qa analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote qa analyst in California is $39.51, according to ZipRecruiter salary data. Most workers in this role earn between $28.22 and $48.89 per hour, depending on experience, location, and employer.

What is a remote QA analyst?

A Remote QA Analyst is a quality assurance professional who works from a location outside the traditional office, typically from home, to test software products and ensure they meet quality standards. They design and execute test cases, report bugs, and collaborate with development teams using digital tools. Remote QA Analysts play a critical role in identifying issues early in the software development lifecycle, helping to deliver reliable and user-friendly products. They often use various testing frameworks and communicate regularly with team members via online platforms.

What does a remote QA analyst do?

The job duties of a remote quality assurance or QA analyst involve working to test websites, software, and computer products, find bugs, and troubleshoot issues. As a remote QA analyst, you fulfill these and other responsibilities in a remote location outside of a physical office. Once you have tested the products or systems and compiled your analysis, you typically report the results to your employer or client. Most remote QA analysts use automated testing software and data to create reports for their employers, and this analysis may include suggestions for areas of improvement.

What are the key skills and qualifications needed to thrive as a remote QA analyst?

To thrive as a Remote QA Analyst, you need a solid understanding of software testing methodologies, attention to detail, and typically a degree in computer science or a related field. Familiarity with test management tools like Jira, automation frameworks such as Selenium, and certification like ISTQB are commonly required. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating remotely and ensuring quality standards. These skills and qualifications are crucial for identifying defects efficiently, maintaining clear communication with distributed teams, and delivering high-quality software products.

How does a remote QA analyst typically collaborate with development teams to ensure software quality?

As a Remote QA Analyst, you'll frequently coordinate with developers, product managers, and sometimes UX designers through virtual meetings, chat platforms, and project management tools. Effective communication is key, as you'll be reviewing requirements, reporting bugs, and providing feedback on test results. Many teams use agile methodologies, so you'll likely participate in regular stand-ups or sprint planning sessions. Despite the remote setting, collaboration is highly interactive, and building strong relationships with cross-functional team members is crucial to successfully identifying and resolving software issues.

What is the difference between Remote Qa Analyst vs Remote Software Tester?

AspectRemote Qa AnalystRemote Software Tester
Required CredentialsQA certifications, understanding of testing methodologiesTesting certifications, knowledge of testing tools
Work EnvironmentCollaborates with development teams, analyzes requirementsExecutes test cases, reports bugs
Industry UsageUsed across software, web, and app developmentPrimarily in software and app development

Remote Qa Analysts focus on analyzing quality assurance processes, requirements, and test planning, often working closely with teams to improve quality strategies. Remote Software Testers primarily execute test cases and identify bugs. While both roles require testing knowledge and certifications, Qa Analysts have a broader scope involving process analysis, whereas Software Testers focus on hands-on testing execution.

More about Remote Qa Analyst jobs

What are the most commonly searched types of Qa Analyst jobs in California?

The most popular types of Qa Analyst jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Qa Analyst jobs?

Cities in California with the most Remote Qa Analyst job openings:

Remote Qa Analyst jobs near you
Infographic showing various Remote Qa Analyst job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,185 per year, or $39.5 per hour.

Lead Gen AI Analyst

Welo Data

Santa Clara, CA • On-site, Remote

Full-time

Posted 2 days ago

New

Job description

We're looking for an experienced Lead Generative AI Analyst to join our team. This leadership role is open to both hybrid and remote candidates, with a preference for those who can work in a hybrid capacity from our Santa Clara, CA office. We're looking for someone who enjoys coordinating people, solving operational challenges, and delivering high-quality results in a fast-paced AI environment.

Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure projects are delivered efficiently, consistently, and at the highest quality standards.

If you have a strong background in project management, operations, or leading production teams—and you're excited about working on cutting-edge Generative AI initiatives—this role is for you.

What You'll Do

  • Lead the day-to-day operations of a team of multimodal AI annotators and reviewers.
  • Provide people leadership, including coaching, performance management, workload planning, and team development.
  • Drive project execution by balancing quality, delivery timelines, and operational priorities.
  • Own client-facing meetings, providing project updates, discussing risks, action plans, and delivery progress.
  • Serve as the primary point of contact for workflow questions, issue resolution, and project escalations.
  • Monitor team performance, quality metrics, productivity, and project health, identifying opportunities for continuous improvement.
  • Develop and refine annotation guidelines, documentation, and quality standards as projects evolve.
  • Coordinate calibration sessions and quality reviews to ensure consistent decision-making across the team.
  • Partner with cross-functional stakeholders, including Quality, Operations, Product, and Engineering teams, to resolve complex cases and improve workflows.
  • Support onboarding, coaching, and ongoing development of new team members.
  • Identify operational risks early and proactively drive solutions to keep projects on track.
  • Prepare regular reports on project status, quality trends, and key operational metrics.

What We're Looking For

  • 5+ years of experience in AI data operations, data annotation, content quality, Trust & Safety, data labeling, or similar production environments.
  • 3+ years of experience leading teams and managing projects, with ownership of delivery, quality, and operational outcomes.
  • Demonstrated experience managing personnel, priorities, and multiple workstreams simultaneously.
  • Experience leading client meetings and communicating project status to internal and external stakeholders.
  • Strong stakeholder management and communication skills.
  • Excellent written and verbal English.
  • Exceptional organizational skills with the ability to prioritize in a fast-moving environment.
  • Experience creating documentation, operational processes, or quality guidelines.
  • Comfortable making decisions in ambiguous situations while maintaining consistency and accuracy.

Preferred Qualifications

  • Experience leading AI, machine learning, or multimodal annotation programs.
  • Experience managing QA operations, calibration sessions, audits, and quality improvement initiatives.
  • Familiarity with annotation tools and AI data workflows.
  • Experience working with Product, Engineering, Research, or Vendor Management teams.
  • Knowledge of reporting, dashboards, workflow optimization, or process improvement.
  • Basic Python, SQL, or data analysis skills are a plus.

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.