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Remote Regression Testing Jobs in California (NOW HIRING)

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Perform model validation, testing, and documentation to ensure quality and reproducibility

Corvel

Data Scientist II

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Perform model validation, testing, and documentation to ensure quality and reproducibility

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Develops testing frameworks and tests model quality. * Coordinates with different functional teams ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

Develops testing frameworks and tests model quality. * Coordinates with different functional teams ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Dlapiper

Data Scientist

San Diego, CA · On-site +1

Develops testing frameworks and tests model quality. * Coordinates with different functional teams ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

Develops testing frameworks and tests model quality. * Coordinates with different functional teams ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Tailored Brands

Data Analyst - Test & Learn

Dublin, CA · On-site +1

... regression, and hypothesis testing. • Exceptional communication skills-both written and oral ... from a remote office location. Benefits This role is eligible for healthcare including medical ...

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Remote Regression Testing information

What is remote regression testing?

Remote regression testing is a software testing process where testers validate that new changes or updates to an application have not adversely affected existing functionality, all while working from a remote location. This approach uses online collaboration tools, test automation frameworks, and cloud-based environments to execute and manage test cases. Remote regression testing is essential for distributed teams and organizations with flexible work arrangements, ensuring continuous software quality without the need for on-site presence. It supports efficient detection of bugs introduced by recent code changes, allowing teams to maintain high-quality standards in rapidly evolving software projects.

What are the key skills and qualifications needed to thrive as a remote regression testing professional?

To excel in Remote Regression Testing, you need a solid understanding of software testing principles, test case design, and experience with regression testing methodologies, often supported by a degree in computer science or a related field. Familiarity with automated testing tools such as Selenium, JUnit, or TestNG, as well as version control systems like Git, is typically required, and certifications like ISTQB can be advantageous. Strong analytical thinking, attention to detail, and clear communication skills are essential soft skills for collaborating remotely and identifying issues efficiently. These competencies ensure that software updates do not introduce new defects, maintaining product quality and reliability in distributed work environments.

What are some typical challenges faced by remote regression testers, and how can they be overcome?

Remote regression testers often encounter challenges such as communication barriers with development teams, time zone differences, and ensuring that test environments closely mirror production systems. To overcome these, it's important to establish clear communication channels—such as regular video meetings and detailed documentation—coordinate schedules for overlap with key team members, and use cloud-based testing tools that facilitate consistent and reproducible test environments. Proactively addressing these challenges helps ensure effective collaboration and high-quality testing outcomes.

What is the difference between Remote Regression Testing vs Remote Test Automation Engineer?

AspectRemote Regression TestingRemote Test Automation Engineer
Primary FocusVerifying that recent code changes do not break existing functionalityDesigning, developing, and maintaining automated test scripts
Required SkillsManual testing, understanding of software features, basic scriptingProgramming, automation tools, scripting languages
Work EnvironmentTesting environments, collaboration with QA teamsDevelopment environments, automation frameworks
CertificationsISTQB, QA certificationsISTQB, automation testing certifications

Remote Regression Testing focuses on manual or semi-automated testing to ensure recent changes haven't introduced new issues, while Remote Test Automation Engineers develop and maintain automated testing frameworks to streamline testing processes. Both roles require testing knowledge but differ in technical depth and automation skills.

What are the most commonly searched types of Regression Testing jobs in California?

The most popular types of Regression Testing jobs in California are:

What are popular job titles related to Remote Regression Testing jobs in California?

For Remote Regression Testing jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Regression Testing jobs in California look for?

The top searched job categories for Remote Regression Testing jobs in California are:

What cities in California are hiring for Remote Regression Testing jobs?

Cities in California with the most Remote Regression Testing job openings:

Remote Regression Testing jobs near you

Data Scientist II

Corvel

Irvine, CA • On-site, Remote

$82K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

CorVel rating

7.9

Company rating: 7.9 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

86th of 151 rated financial services

Job description

We have an exciting opportunity for a Data Scientist within our data product space. This individual will be focused on designing, building, and deploying machine learning models and data products that support our enterprise initiatives. This role focuses on developing scalable, production ready solutions by translating complex business problems into data-driven approaches and model-based outputs.
Working closely with product managers, engineering teams, and business stakeholders, this position contributes to the development of data products from concept through deployment, ensuring solutions are reliable, performant, and aligned with real world use cases. The role includes hands on model development, feature engineering, and integration into production systems within cloud environments.
The ideal candidate has experience building and operationalizing machine learning models and is comfortable working with modern AI techniques, including large language models (LLMs) and retrieval-augmented generation (RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred.
Success in this role requires strong technical expertise, problem-solving skills, and the ability to deliver high-quality solutions within a structured development environment. This role focuses on building and deployment of production data products and is not limited to exploratory analysis or reporting.
This position is open to remote or hybrid.
ESSENTIAL FUNCTIONS & RESPONSIBILITIES:
  • Mine and analyze data from internal databases to drive optimization and improvement of product development and business strategies
  • Creating new, experimental frameworks to collect data
  • Building tools to automate data collection
  • Develop custom data models and algorithms to apply to data sets
  • Design, build, train, and deploy machine learning models and data products for enterprise use
  • Translate business and operational needs into scalable data science solutions and modeling approaches
  • Perform feature engineering, data preparation, and exploratory analysis to support model development
  • Develop and evaluate models using appropriate techniques (e.g., classification, regression, NLP, optimization)
  • Contribute to the design of data products, including model outputs, APIs, and integration into downstream systems
  • Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate
  • Collaborate with engineering teams to integrate models into production environments using APIs, pipelines, and cloud services
  • Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms
  • Perform model validation, testing, and documentation to ensure quality and reproducibility
  • Contribute to technical design discussions and provide input on architecture and implementation strategies
  • Work within the full software development lifecycle (SDLC), including version control, testing, and release processes
  • Communicate model behavior, assumptions, and results clearly to technical and non-technical stakeholders
  • Develop A/B testing framework and test model quality
  • Passion for technology and emerging AI/ML trends
  • Additional duties as assigned

KNOWLEDGE & SKILLS:
  • Strong problem-solving skills with an emphasis on product development.
  • Strong foundation in machine learning, statistical modeling, and data science techniques
  • Experience building and deploying machine learning models in production environments
  • Familiarity with modern AI approaches, including:
    • Natural language processing (NLP)
    • Large language models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Feature engineering and model evaluation techniques
  • Experience working with cloud platforms such as Azure, AWS, or similar ecosystems
  • Familiarity with data pipelines, APIs, and integration patterns
  • Proficiency in programming languages such as Python and database management including SQL
  • Strong problem-solving skills with the ability to structure complex problems into analytical solutions
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.), their real-world advantages/drawbacks and experience with applications
  • Excellent presentation and written/verbal communication skills

EDUCATION & EXPERIENCE:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master's preferred
  • 2-5+ years of experience in data science, machine learning, or related roles
  • Experience developing and deploying machine learning models in production environments
  • Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or similar
  • Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, or similar technologies preferred
  • Experience working within enterprise software environments and SDLC practices preferred

PAY RANGE:
CorVel uses a market based approach to pay and our salary ranges may vary depending on your location. Pay rates are established taking into account the following factors: federal, state, and local minimum wage requirements, the geographic location differential, job-related skills, experience, qualifications, internal employee equity, and market conditions. Our ranges may be modified at any time.
For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level, either up or down, based on assessment during interview process taking into consideration experience, qualifications, and overall fit for the role. The level may impact the salary range and these adjustments would be clarified during the offer process.
Pay Range: $82,574 - $127,490
A list of our benefit offerings can be found on our CorVel website: CorVel Careers | Opportunities in Risk Management
In general, our opportunities will be posted for up to 1 year from date of posting, or until we have selected candidate(s) to fulfill the opening, whichever comes first.
About CorVel
CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers' compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).
A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off.
CorVel is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
#LI-Remote
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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