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Remote Regression Testing Jobs in Austin, TX (NOW HIRING)

Lead Engineer, AI Attack Simulation

Austin, TX · On-site +1

$101K - $133K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a ... security testing capabilities. You will partner closely with Product Management and Security ...

Posted today

... remote and underserved areas. This role will focus on consumer metrics and insights, conducting ... testing support and scenario planning * Identify data gaps and work with engineering teams to ...

Sr. Business Analyst (Customer Success)

Bastrop, TX · Remote

$92K - $118K/yr

... in remote and underserved areas. The team drives consumer adoption and expansion by analyzing ... testing support and scenario planning * Identify data gaps and work with engineering teams to ...

Showing results 21-30

Remote Regression Testing information

See Austin, TX salary details

$11

$50

$69

How much do remote regression testing jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote regression testing in Austin, TX is $50.99, according to ZipRecruiter salary data. Most workers in this role earn between $42.16 and $58.85 per hour, depending on experience, location, and employer.

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 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 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.
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What cities near Austin, TX are hiring for Remote Regression Testing jobs? Cities near Austin, TX with the most Remote Regression Testing job openings:
Infographic showing various Remote Regression Testing job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $106,057 per year, or $51 per hour.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 22 days ago


Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities
  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:
  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude
  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find "the" optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests into project specifications