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Remote Regression Testing Jobs in Alabama (NOW HIRING)

DataAnnotation

Physicist - AI Trainer

Montgomery, AL · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... testing, regression, classification, time‐series forecasting). Fluency in English (native or ...

Maximus

System Test Engineer

Huntsville, AL · Remote

This position is remote and requires an active Secret clearance or higher. Maximus TCS (Technology ... testing, targeted smoke test, targeted regression, and build support. #techjobs #clearance ...

Maximus

System Test Engineer

Tuscaloosa, AL · Remote

This position is remote and requires an active Secret clearance or higher. Maximus TCS (Technology ... testing, targeted smoke test, targeted regression, and build support. #techjobs #clearance ...

Maximus

System Test Engineer

Montgomery, AL · Remote

This position is remote and requires an active Secret clearance or higher. Maximus TCS (Technology ... testing, targeted smoke test, targeted regression, and build support. #techjobs #clearance ...

Maximus

System Test Engineer

Birmingham, AL · Remote

This position is remote and requires an active Secret clearance or higher. Maximus TCS (Technology ... testing, targeted smoke test, targeted regression, and build support. #techjobs #clearance ...

Maximus

System Test Engineer

Mobile, AL · Remote

This position is remote and requires an active Secret clearance or higher. Maximus TCS (Technology ... testing, targeted smoke test, targeted regression, and build support. #techjobs #clearance ...

Pae

GN&C Sr Engineer

Huntsville, AL · On-site +1

$103K - $141.40K/yr

... evaluation, testing, and verification of control systems and 6-DoF models and simulations ... Automate Monte Carlo, controls design algorithms, and/or regression processes * Conduct trades ...

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Remote Regression Testing information

What are the key skills and qualifications needed to thrive as a Remote Regression Testing professional, and why are they important?

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 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 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 popular job titles related to Remote Regression Testing jobs in Alabama? For Remote Regression Testing jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Regression Testing jobs in Alabama look for? The top searched job categories for Remote Regression Testing jobs in Alabama are:
What cities in Alabama are hiring for Remote Regression Testing jobs? Cities in Alabama with the most Remote Regression Testing job openings:
Remote Regression Testing jobs near you
Clinical Data Scientist - AI Trainer

Clinical Data Scientist - AI Trainer

DataAnnotation

Montgomery, AL • On-site, Remote

$40/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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