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Remote Automation Testing Jobs in Washington (NOW HIRING)

540

Test Automation Engineer (Contract)

Arlington, VA · Remote

$53 - $70/hr

Remote within the continental United States, East Coast working hours Citizenship & Clearance ... Own and manage the development-level testing process and outcomes * Design, develop, and maintain ...

TIAG

Software Test Automation Engineer

Reston, VA · On-site +1

$48 - $63.25/hr

This position requires US or Naturalized Citizenship to be considered and is 100% remote. The ... Unit Testing: Assist the development team by writing unit tests to validate individual components ...

Armavel, LLC

Be Seen First

Automation Engineer

Arlington, VA · Remote

$110K - $130K/yr

In this role, you'll work at the intersection of automation, data, and emerging AI/ML capabilities ... Flexible and fully remote: Work from anywhere in the U.S. Company Description Armavel is a fast ...

Acuity INC

Test Automation Engineer

Reston, VA · On-site +1

$48 - $63.25/hr

Acuity, Inc. seeks a Test Automation Engineer to support a federal client by designing, developing, and maintaining automated testing solutions across development, test, and release activities. This ...

SAIC

Agentic AI Solutions

Washington, DC · Remote

$62.50 - $80.75/hr

Public Trust Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a high performing ... Skills and expertise: QA automation, testing frameworks, prompt engineering, agentic workflow ...

Quora

AI Automation Engineer -Remote

Annandale, VA · On-site +1

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

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Remote Automation Testing information

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How much do remote automation testing jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote automation testing in Washington is $58.08, according to ZipRecruiter salary data. Most workers in this role earn between $50.10 and $66.15 per hour, depending on experience, location, and employer.

What are some typical challenges faced in a remote automation testing role, and how can they be addressed?

Remote automation testers often encounter challenges like coordinating across different time zones, maintaining effective communication with development teams, and managing test environments remotely. To address these issues, it’s important to utilize clear documentation practices, regularly attend virtual meetings, and leverage project management tools such as Jira or Slack for updates and collaboration. Testers should also proactively set up secure access to cloud-based or shared test environments and develop a system for tracking test runs and results. With these strategies, remote testers can overcome common hurdles, ensuring that their testing processes remain smooth and the quality of deliverables is maintained.

What are the key skills and qualifications needed to thrive in the Remote Automation Testing position, and why are they important?

To excel in Remote Automation Testing, you need a strong background in software testing methodologies, programming skills (such as Python, Java, or JavaScript), and experience in automation frameworks like Selenium or Cypress. Familiarity with continuous integration/continuous deployment (CI/CD) tools, cloud-based testing environments, and relevant certifications such as ISTQB or Certified Selenium Tester is highly beneficial. Effective communication, time management, and problem-solving abilities are essential soft skills for remote collaboration and troubleshooting. These competencies are vital for ensuring software quality, seamless teamwork, and efficient test automation in a distributed work environment.

What is a Remote Automation Testing job?

A Remote Automation Testing job involves designing, developing, and executing automated test scripts to verify the functionality of software applications while working remotely. Testers use automation frameworks and tools like Selenium, Cypress, or Appium to ensure software quality. They collaborate with development teams, identify bugs, and enhance test efficiency. Remote testers must have strong programming skills, analytical thinking, and experience with CI/CD pipelines. This role allows professionals to work from anywhere while contributing to high-quality software releases.

What are the most commonly searched types of Automation Testing jobs in Washington? The most popular types of Automation Testing jobs in Washington are:
What are popular job titles related to Remote Automation Testing jobs in Washington? For Remote Automation Testing jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Automation Testing jobs in Washington look for? The top searched job categories for Remote Automation Testing jobs in Washington are:
What cities in Washington are hiring for Remote Automation Testing jobs? Cities in Washington with the most Remote Automation Testing job openings:
Remote Automation Testing jobs near you
Infographic showing various Remote Automation Testing job openings in Washington as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $120,798 per year, or $58.1 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Adelphi, MD • Remote

Other

Posted 28 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