2

Remote Software Qa Engineer Jobs in California (NOW HIRING)

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 ...

Quality Assurance Nurse

Folsom, CA · Remote

$61K - $98K/yr

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Develop, implement, and provide ongoing quality assurance calibration of processes as well as a case management mentoring, both ...

Job Title: QA AnalystLocation: Remote Rate: $ 40 hrDuration: 12 months Contract with possible extensions/conversionTools -Eclipse or any other IDE can workGradleJenkinsCucumberGITSkills - Basic Java ...

Mid Level Software Engineer

Irvine, CA · Remote

$100K - $115K/yr

Mid Level Software Engineer Full-time Remote Exclusive confidential search -- details shared with ... QA, and DevOps to design, build, and operate cloud-based services. This is a Remote role. Here ...

Software Engineer 2

San Jose, CA · Remote

$114K - $156K/yr

Software Engineer 2 Full-time Remote You'll be joining Adobe on a contract opportunity, employed ... This role contributes to QA automation, test frameworks, and ongoing improvements to the test life ...

Software Engineer

Santa Clara, CA · On-site +1

$110K - $155K/yr

Prior work developing and implementing software quality assurance programs and testing, especially ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

Showing results 41-60

Remote Software Qa Engineer information

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

AspectRemote Software Qa EngineerRemote Software Tester
CredentialsTypically requires knowledge of QA methodologies, testing tools, and sometimes certifications like ISTQBOften requires basic testing skills, familiarity with testing tools, and sometimes certifications
Work EnvironmentCollaborates closely with developers, product managers, and QA teams in a software development lifecycleFocuses on executing test cases, reporting bugs, and verifying fixes, often working independently or in small teams
Industry UsageCommonly used in software development companies, tech firms, and IT servicesWidely used across software companies, startups, and quality assurance firms

The main difference is that a Remote Software Qa Engineer typically has a broader role involving designing test plans, automating tests, and ensuring overall quality, while a Remote Software Tester primarily executes test cases and reports issues. Both roles require testing knowledge, but the QA Engineer often has more responsibilities in planning and automation.

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

As a Remote Software QA Engineer, collaboration with development teams is often achieved through regular virtual meetings, shared documentation, and project management tools. You’ll participate in sprint planning, daily stand-ups, and code reviews to provide early feedback and discuss testing strategies. Communication is key when working remotely, so expect to use platforms like Slack, Jira, and Confluence to track issues and maintain transparency. Building strong relationships with developers and product managers helps ensure that quality concerns are addressed promptly and that testing aligns closely with project goals.

What does a remote software QA engineer do?

A Remote Software QA (Quality Assurance) Engineer is responsible for testing software applications to ensure they meet quality standards and function correctly. They design and execute test plans, identify bugs, and work closely with developers to resolve issues. Working remotely, they use collaborative tools to communicate with their team and track defects, helping to ensure the final product is reliable and user-friendly.

What are the key skills and qualifications needed to thrive as a remote software QA engineer, and why are they important?

To thrive as a Remote Software QA Engineer, you need a solid understanding of software testing methodologies, programming or scripting knowledge, and often a degree in computer science or a related field. Familiarity with QA automation tools like Selenium or Cypress, bug tracking systems like Jira, and possibly certifications such as ISTQB are highly valuable. Excellent communication, problem-solving skills, and self-motivation are essential soft skills in remote environments for effective collaboration and independent work. These competencies ensure high-quality software releases, efficient remote teamwork, and the ability to quickly identify and resolve issues.

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

The most popular types of Software Qa Engineer jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Software Qa Engineer jobs?

Cities in California with the most Remote Software Qa Engineer job openings:

Infographic showing various Remote Software Qa Engineer job openings in California as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Software Engineer Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$100 - $200/hr

Part-time

Posted 4 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.