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Remote Quality Assurance Jobs in Decatur, AL (NOW HIRING)

... assurance, security, and deployment environments. * Strong Python development skills with hands-on ... Understanding of prompt engineering, retrieval quality, and grounding methods. * Exposure to GPU ...

... assurance, security, and deployment environments. * Strong Python development skills with hands-on ... Understanding of prompt engineering, retrieval quality, and grounding methods. * Exposure to GPU ...

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Remote Quality Assurance information

See Decatur, AL salary details

$14

$42

$60

How much do remote quality assurance jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for remote quality assurance in Decatur, AL is $42.07, according to ZipRecruiter salary data. Most workers in this role earn between $34.23 and $51.15 per hour, depending on experience, location, and employer.

What Are Remote Quality Assurance Jobs?

Remote quality assurance jobs allow you to work from home to review a product and help identify any defects or bugs. While this may include smoothing out any production issues before the launch of a product, most remote quality assurance jobs focus on helping to test software or websites instead of physical goods. Your duties may include testing a purchasing or billing process, using tools and metrics to measure software performance, or interpreting requirements to ensure that any changes made meet expectations. Quality assurance tests are usually designed to consider the intended specifications of the product, so the ability to learn new tools and techniques quickly is essential to success in these roles.

How can I make 2000 a week working from home?

A remote Quality Assurance professional can earn $2,000 or more weekly by working multiple freelance or contract QA projects, often requiring strong attention to detail, familiarity with testing tools, and good communication skills. Increasing income may involve gaining certifications, specializing in high-demand testing areas, or working for companies that pay premium rates for experienced testers. Building a diverse portfolio and leveraging platforms for remote work can also help reach higher earnings.

How do remote Quality Assurance professionals effectively collaborate with development teams to resolve issues?

Remote Quality Assurance (QA) professionals frequently use collaborative tools such as project management software, instant messaging, and video conferencing to communicate with development teams. They participate in daily standups, bug triage meetings, and sprint reviews to discuss test results, clarify requirements, and prioritize issues. Strong documentation skills and clear communication are essential to ensure that bugs are well-described and reproducible. By proactively engaging with developers and providing timely feedback, remote QA professionals help maintain product quality and foster a collaborative environment despite physical distance.

What is a Remote Quality Assurance job?

A Remote Quality Assurance (QA) job involves testing software, websites, or products to ensure they meet specified standards and function correctly, all while working from a location outside of a traditional office. Remote QA professionals use various tools to identify bugs, document issues, and collaborate with development teams to resolve problems. They may perform manual or automated testing and are responsible for maintaining the quality and reliability of products before release. Communication and attention to detail are key skills in this role.

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

To thrive as a Remote Quality Assurance professional, you need strong analytical skills, attention to detail, and a solid understanding of software testing methodologies, usually supported by a degree in computer science or a related field. Familiarity with QA tools such as Selenium, JIRA, and test management systems, as well as certifications like ISTQB, is typically required. Excellent communication, problem-solving, and self-motivation are vital soft skills for effective collaboration and independent work in a remote environment. These skills ensure the delivery of high-quality software products and seamless coordination with distributed development teams.

What is the difference between Remote Quality Assurance vs Remote Software Tester?

AspectRemote Quality AssuranceRemote Software Tester
CredentialsQA certifications, understanding of testing methodologiesBasic testing knowledge, sometimes certifications
Work EnvironmentCollaborative teams, testing labs, project management toolsSimilar environments, often part of development teams
Industry UsageUsed across software, hardware, and product industriesPrimarily in software development
Job FocusEnsuring quality, process improvement, documentationExecuting test cases, identifying bugs

Remote Quality Assurance and Remote Software Tester roles overlap significantly, especially in skills and work environment. QA professionals often handle broader quality processes, while software testers focus on executing tests and bug reporting. Both roles are essential in software development and frequently require similar credentials and tools.

Which pays more, QA or QC?

In the context of quality assurance (QA) and quality control (QC) jobs, QA roles typically offer higher salaries because they involve more comprehensive responsibilities such as process improvement and testing strategy, often requiring certifications like ISTQB. QC roles tend to focus on product inspection and testing, which may have slightly lower pay but are essential for product quality. Salary differences can vary based on industry, experience, and location, but generally, QA positions are more lucrative.

Can quality assurance work from home?

Yes, many quality assurance roles can be performed remotely, especially those involving software testing, documentation, and communication with development teams. Remote QA positions often require familiarity with testing tools, bug tracking software, and good communication skills, and may involve flexible schedules. However, some roles that require physical inspection or on-site equipment may not be suitable for remote work.

How to make $80,000 a year working from home?

A remote Quality Assurance professional can earn $80,000 or more annually by gaining experience, developing strong testing skills, and obtaining relevant certifications such as ISTQB. Working for established companies or freelance platforms can also increase earning potential, especially when taking on multiple projects or specialized testing roles. Building a solid remote work setup and demonstrating reliability can help achieve higher income levels in this field.
What are the most commonly searched types of Quality Assurance jobs in Decatur, AL? The most popular types of Quality Assurance jobs in Decatur, AL are:
What job categories do people searching Remote Quality Assurance jobs in Decatur, AL look for? The top searched job categories for Remote Quality Assurance jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Remote Quality Assurance jobs? Cities near Decatur, AL with the most Remote Quality Assurance job openings:
Infographic showing various Remote Quality Assurance job openings in Decatur, AL as of July 2026, with employment types broken down into 71% Full Time, 13% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,500 per year, or $42.1 per hour.
Distinguished AI/ML Engineer

Distinguished AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

Full-time

Posted 14 days ago


Job description

FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

FTI Defense is seeking a Distinguished AI/ML Engineer to serve as a technical leader, architect, and integrator — designing, building, deploying, and sustaining AI systems that transform complex mission data into trusted, explainable insights.

This is a hands-on builder role, not an analytics management position. The ideal candidate is equally comfortable writing model code, standing up ML pipelines, and integrating AI inference services into operational systems within secure environments. The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities.


  • Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines.
  • Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems.
  • Lead the full AI/ML lifecycle — from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, GovCloud).
  • Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs.
  • Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems.
  • Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection.
  • Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations.
  • Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs.
  • Collaborate across engineering, data, and modeling teams to unify FTI’s AI portfolio, ensuring interoperability and reuse across mission systems.
  • Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks.

  • Active Secret clearance required; TS/SCI strongly preferred.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s or Ph.D. preferred).
  • 10+ years of overall experience in AI/ML development, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system).
  • Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks.
  • Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka.
  • Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments.
  • Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention.
  • Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable.
  • Experience transitioning R&D systems into accredited production environments.
  • Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on.

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