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Remote Qa Automation Engineer Jobs in Georgia (NOW HIRING)

TransCore

Sr Software Engineer, Smart Mobility

Norcross, GA · On-site +1

$115K - $152K/yr

You will work daily with mobile, integration, QA automation, and DevOps engineers, and with the ... Will consider remote applicants for the right skillset. Position may be hybrid, with a blend of in ...

Gururo

QA Tester

Atlanta, GA · On-site +1

Develop test plan, prescription, and procedure along with the QA engineers. * Run manual or automated test cases on source codes and evaluate the result. * Studying product code keeping in mind the ...

Genovice

CSV Quality Assurance Engineer

Atlanta, GA · Remote

$90K - $120K/hr

This is a remote position. CSV Quality Engineer Lead- Part-Time Location: Remote Commitment ... Familiarity with LIMS, MES, ELN, QMS, laboratory automation, or scientific instrument connectivity

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Remote Qa Automation Engineer information

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

As of Sep 7, 2026, the average hourly pay for remote qa automation engineer in Georgia is $43.44, according to ZipRecruiter salary data. Most workers in this role earn between $35.91 and $50.14 per hour, depending on experience, location, and employer.

What is a remote QA automation engineer?

A Remote QA Automation Engineer is a software professional who designs, develops, and maintains automated tests to ensure the quality of software products, all while working from a remote location. They use various programming languages and testing frameworks to automate repetitive testing tasks, identify bugs, and verify that new features work as intended. Their work helps speed up the software development process by catching issues early and ensuring consistent product quality, even when collaborating with distributed teams. Remote QA Automation Engineers often collaborate with developers, product managers, and other stakeholders using communication and project management tools.

What does a remote QA automation engineer do?

As a remote QA automation engineer, you help develop software to test, debug, and troubleshoot issues with a product. This often involves digital products like apps, but QA automation can also be done for some physical products. In this role, you may design and build test automation frameworks, coordinate with designers to gather more information about products, create testing kits, create in-depth bug reports, and participate in root cause analysis work. Remote QA automation engineers often work from home and may use email, telephone, or voice chat to contact and coordinate with other employees, and may also use virtual office software to coordinate with larger groups.

What are the key skills and qualifications needed to thrive as a remote QA automation engineer?

To thrive as a Remote QA Automation Engineer, you need a strong background in software testing, programming skills (often in Python, Java, or JavaScript), and experience with test automation frameworks, typically supported by a relevant degree or certification. Familiarity with tools such as Selenium, Jenkins, JUnit, and continuous integration systems is commonly required. Excellent analytical thinking, problem-solving abilities, and clear communication are crucial for remote collaboration and effective troubleshooting. These skills ensure you can efficiently identify defects, maintain high software quality, and seamlessly work with distributed development teams.

How does a remote QA automation engineer typically collaborate with development teams to ensure software quality?

As a Remote QA Automation Engineer, collaboration with developers is often achieved through virtual meetings, code reviews, and shared project management tools. You'll participate in sprint planning sessions, daily stand-ups, and defect triage discussions to align on requirements and testing priorities. Utilizing platforms like Jira, Slack, or Microsoft Teams, you’ll provide feedback on test results, report issues, and suggest improvements. Regular communication and clear documentation are crucial for ensuring everyone stays updated, even when working across different time zones.

What is the difference between Remote Qa Automation Engineer vs Remote Software Tester?

AspectRemote Qa Automation EngineerRemote Software Tester
CredentialsQA certifications, automation tools knowledgeTesting certifications, manual testing skills
Work EnvironmentAutomation frameworks, scripting environmentsTest case execution, manual testing setups
Industry UsageSoftware development, tech companiesSoftware, web, and app testing across industries
Search IntentAutomation testing roles, QA automation jobsManual testing roles, software testing jobs

The main difference is that a Remote Qa Automation Engineer focuses on developing and maintaining automated test scripts using various tools and frameworks, while a Remote Software Tester primarily performs manual testing to identify bugs. Both roles require strong QA knowledge, but automation engineers emphasize scripting and automation tools, whereas testers focus on manual test execution.

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    Remote Qa Automation Engineer jobs near you
    Infographic showing various Remote Qa Automation Engineer job openings in Georgia as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $90,347 per year, or $43.4 per hour.

    Generative AI Automation Engineer - Remote Job

    EnthuZiastic

    Carrollton, GA • Remote

    Full-time

    Re-posted 17 days ago

    Job description

    About Us

    Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

    Job Description

    ​

    This is a remote position.

    We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

    Key Responsibilities:

    Generative AI Model Implementation:

    • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

    • Integrate pre-trained models or build custom models for specific use cases.

    Automation Design and Development:

    • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

    • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

    Data Management:

    • Collect, preprocess, and analyze large datasets for training and validating AI models.

    • Ensure data privacy and compliance with regulatory requirements during data handling.

    System Integration:

    • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

    • Build and maintain pipelines for real-time AI inference and automation.

    Monitoring and Optimization:

    • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

    • Optimize models and processes based on performance metrics and user feedback.

    Research and Innovation:

    • Stay updated with the latest advancements in Generative AI and automation technologies.

    • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

    Documentation and Collaboration:

    • Document technical designs, workflows, and implementation strategies.

    • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

    Requirements

    Required Qualifications:

    • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

    • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

    • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

    • Experience with automation tools (e.g., RPA, workflow orchestration tools).

    • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

    • Solid understanding of data structures, algorithms, and software design principles.

    • Strong analytical and problem-solving skills.

    • Excellent communication and teamwork abilities.

    Preferred Qualifications:

    • Experience with NLP, image generation, or multimodal AI models.

    • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

    • Familiarity with prompt engineering and fine-tuning Generative AI models.

    • Knowledge of MLOps practices for deploying and maintaining AI solutions.

    • Previous experience in automation or workflow optimization projects.

    Benefits

    Why Join Us?

    • Work with cutting-edge Generative AI technologies.

    • Collaborate with a team of forward-thinking innovators.

    • Make a tangible impact on the future of automation and AI-driven processes.

    If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

    Apply