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Remote Automation Test Engineer Jobs in Louisiana

AI Engineer

Iowa, LA · On-site +1

Design, build, test, and maintain AI-assisted automation components, scripts, integrations ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... and automation tools, as part of their everyday work while maintaining appropriate judgment ...

This is a role for engineers who enjoy asking "why," digging into complex problems, and ... and automation tools, as part of their everyday work while maintaining appropriate judgment ...

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ...

Lead AI Solutions Engineer

Iowa, LA · On-site +1

$90K - $119K/yr

Build automation components that improve software delivery, release readiness, test generation ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

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Remote Automation Test Engineer information

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How much do remote automation test engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for remote automation test engineer in Louisiana is $43.85, according to ZipRecruiter salary data. Most workers in this role earn between $37.84 and $49.95 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Automation Test Engineer, you need strong programming skills (often in languages like Java, Python, or JavaScript), a solid understanding of software testing methodologies, and experience with test automation frameworks such as Selenium, Appium, or Cypress. Familiarity with CI/CD tools (like Jenkins or GitLab), version control systems (such as Git), and relevant certifications (e.g., ISTQB) are commonly expected. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams and ensuring quality outcomes. These competencies are essential for identifying defects early, improving software reliability, and maintaining productivity in a remote work environment.

What is the difference between Remote Automation Test Engineer vs Manual QA Tester?

AspectRemote Automation Test EngineerManual QA Tester
Required SkillsAutomation tools, scripting, programmingTest case execution, attention to detail
Work EnvironmentCollaborates with developers, uses automation frameworksPerforms manual testing, reports bugs
CertificationsISTQB, Certified Automation TesterISTQB, Software Testing certifications
Industry UsageSoftware development, tech companiesVaried industries, including software and manufacturing

The main difference between a Remote Automation Test Engineer and a Manual QA Tester lies in their testing approach. The automation engineer focuses on developing and maintaining automated test scripts, requiring programming skills and automation tools. In contrast, the manual tester executes test cases manually without automation. Both roles are essential in quality assurance, but they serve different functions within the testing process.

How does a remote automation test engineer typically collaborate with distributed development teams?

As a Remote Automation Test Engineer, you'll frequently interact with developers, product managers, and other QA professionals through virtual channels such as video calls, chat platforms, and project management tools. Effective collaboration often involves participating in daily stand-ups, sharing test results promptly, and providing feedback on code changes. Clear communication and documentation are key, as you'll need to ensure that everyone is aligned on testing priorities, defect statuses, and automation coverage. Embracing asynchronous communication and maintaining organized test artifacts help overcome challenges posed by working across different time zones.

What does a remote automation test engineer do?

The job duties and responsibilities of a remote automation test engineer focus on quality assurance (QA). In this work from home role, you oversee the development of testing frameworks and maintain, debug, and operate automated testing systems on software to ensure that they meet technical requirements for the client or employers’ QA needs. In addition to taking steps to run and monitor each testing program from your remote location, you work to improve testing strategies and make updates to the testing frameworks when necessary.

What is a remote automation test engineer?

A Remote Automation Test Engineer is a software professional who specializes in designing, developing, and executing automated tests to ensure the quality of software applications, while working from a location outside the traditional office environment. Their primary responsibilities include creating and maintaining automated test scripts, identifying bugs, and collaborating with development teams to resolve issues. They use various testing tools and frameworks to improve the efficiency and effectiveness of software testing, helping to deliver reliable and high-quality products. Remote work allows them to perform these tasks from anywhere, using digital communication and collaboration tools.
What are popular job titles related to Remote Automation Test Engineer jobs in Louisiana? For Remote Automation Test Engineer jobs in Louisiana, the most frequently searched job titles are:
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AI & Automation Solutions Specialist

RESTECH INFORMATION SERVICES

Metairie, LA • Remote

Other

Re-posted 2 days ago


Job description

Description

Position Summary

We are seeking an AI & Automation Solutions Specialist who can design, build, and implement scalable systems across the galaxy. This is a technical and client-facing role for someone who can navigate business processes like a pilot through an asteroid field. You will identify automation opportunities, educate clients on AI adoption, and turn business needs into practical technology solutions-ensuring our clients never feel like they are stuck in a "Kobayashi Maru" no-win scenario.

The ideal candidate is comfortable working with AI assistants, workflow platforms, and APIs. We need someone who can guide clients from discovery to implementation, ensuring their AI journey doesn't end up like a thermal exhaust port oversight.

Key Responsibilities

Client-Facing AI & Automation Consulting

  • Meet with clients to understand workflows and pain points; essentially, perform a Vulcan Mind Meld to translate business      requirements into technical solution designs.
  • Educate clients on AI use cases in clear, business-friendly language-no need for Binary or Klingon here.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.

Conversational AI & Persona Engineering

  • Design and implement AI assistants and voice solutions. You aren't just building a droid; you're building a personality.
  • Build AI personas that align with brand tone and service expectations. Whether the client needs a protocol droid or a      Starfleet computer, you'll set the behavior guidelines.
  • Configure phone-based AI systems with reliable branching logic to ensure callers never feel like they're trapped in a tractor beam.

Automation Architecture & Workflow Design

  • Design and manage workflows that connect business systems and reduce manual effort.
  • Build scalable automations that can be monitored and improved over time-think "Engage" rather than "Wait."
  • Design error handling and escalation paths so that a single glitch doesn't lead to a total systems failure.

Endpoint Automation & Systems Management

  • Build automation within endpoint management environments to reduce technician workload.
  • Design automated monitoring and remediation workflows; your goal is to make the systems as self-sustaining as a Federation starship.
  • Create scripts and task sequences to automate local and remote actions.

Systems Integration & API Management

  • Design and document integrations between third-party and proprietary systems using APIs, webhooks, and payloads.
  • Configure secure connections using modern authentication.
  • Troubleshoot integration failures and data synchronization problems with the precision of a targeting computer.

Data Reliability, Testing & Documentation

  • Maintain data accuracy across platforms.
  • Test AI and automation solutions before deployment; we refer to find the "thermal exhaust port" before the client does.
  • Create technical documentation and reusable automation templates.

Requirements

Required Skills & Experience

  • Experience designing and building automation workflows.
  • Ability to work directly with clients in discovery and implementation settings.
  • Understanding of AI assistants, LLMs, and prompt engineering.
  • Scripting experience in one or more common languages.
  • Strong documentation skills; your reports should be as clear as a Captain's Log.
  • Ability to explain technical solutions in simple language.

Preferred Technical Competencies

  • AI assistant and Voice AI architecture.
  • Prompt engineering and AI persona development.
  • Endpoint automation and systems management.
  • API development and secure authentication.
  • Process improvement and technical documentation.

Platform Experience Preferred

  • Endpoint management and remote automation platforms.
  • Workflow automation and middleware.
  • Voice AI and conversational AI platforms.
  • CRM, PSA, and ticketing systems.
  • API testing and development tools.

Ideal Candidate Profile

The ideal candidate is a builder, a problem-solver, and a client educator. They understand how businesses operate and can identify where AI creates measurable value.

This person should be able to sit with a client, map a manual process, and build a solution that works. You should be comfortable in fast-moving environments where technology evolves at warp speed.

Success in This Role Looks Like

  • Clients understand how AI and automation can improve their business.
  • Manual processes are converted into reliable, documented workflows.
  • AI assistants and voice solutions are deployed with clear business value.
  • Internal teams have clear documentation and repeatable standards.
  • Client systems communicate securely and reliably, keeping the peace across the digital frontier.