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Python Qa Automation Remote Jobs in Phoenix, AZ (NOW HIRING)

YO AI Labs

Lawyer - Remote

Phoenix, AZ · Remote

$140 - $350/hr

Contractor Location: Remote - United States Job Overview We are seeking experienced US-based ... Support quality assurance and maintain high standards of accuracy and attention to detail. Required ...

YO AI Labs

Hardware Expert - Remote

Phoenix, AZ · Remote

$50 - $100/hr

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... Use Python for CAD automation and programmatic modeling. * Export and validate STEP and other solid ...

Oscar Health

Associate, Actuarial

Tempe, AZ · On-site +1

$111K - $145K/yr

This is a remote position, open to candidates who reside in: Arizona, Florida, Georgia, Illinois ... QA controls, reproducibility, and automation of recurring analyses. * Support onboarding and ...

YO AI Labs

Radiologist Remote

Phoenix, AZ · Remote

$15 - $80/hr

Remote Role Summary We are seeking Radiologists with strong anatomical knowledge and visual ... Quality Assurance * Protocol & Guideline Compliance

Valenz Health

Sr. Analyst - Healthcare Analytics

Phoenix, AZ · On-site +1

$83K - $109K/yr

... quality assurance. * Highly organized, self-motivated, and able to manage multiple priorities ... Strong Python programming skills, including experience with data analysis libraries such as Pandas ...

Valenz

Sr. Analyst - Healthcare Analytics

Phoenix, AZ · Remote

$90K - $119K/yr

... quality assurance. * Highly organized, self-motivated, and able to manage multiple priorities ... Strong Python programming skills, including experience with data analysis libraries such as Pandas ...

Sonatafy Technology

Sr Fullstack Engineer

Phoenix, AZ · Remote

$125K - $165K/yr

Write efficient and maintainable code with comprehensive test coverage, collaborating with QA ... Experience with HL7 messaging and robotic process automation is a plus. * Experience in Python. Why ...

SMI IMAGING LLC

Radiologist- Remote

Scottsdale, AZ · On-site +1

$319K - $399K/yr

Description The Remote Radiologist is responsible for interpreting diagnostic imaging studies from ... quality assurance, peer review, and virtual team meetings. • Maintain up-to-date licensure and ...

Epiq

Senior Review Manager

Phoenix, AZ · On-site +1

$120K - $140K/yr

Develop, implement, and maintain robust internal controls and quality assurance (QA) procedures to ... TP1 #remote Your specific salary will be determined based on several factors: * Location-based ...

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Annotate data and support quality assurance initiatives for AI training. * Interpret complex ...

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Annotate data and support quality assurance initiatives for AI training. * Interpret complex ...

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

As of Sep 9, 2026, the average hourly pay for python qa automation remote in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.

What is a Python QA automation engineer (remote)?

A Python QA Automation Engineer (Remote) is a software professional who designs, develops, and executes automated tests to ensure the quality of software applications, using Python as the primary programming language. Working remotely, they collaborate with development and QA teams to create test scripts, identify bugs, and improve testing processes. Their work helps reduce manual testing efforts, increase test coverage, and ensure reliable software releases. Python QA Automation Engineers often use frameworks like Selenium, Pytest, or Robot Framework and require strong problem-solving skills and attention to detail.

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

To thrive as a Python QA Automation Engineer, you need proficiency in Python programming, understanding of software testing principles, and experience with automated testing frameworks, often supported by a degree in computer science or related field. Familiarity with tools such as Selenium, PyTest, CI/CD systems like Jenkins, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for remote collaboration and problem-solving. These skills ensure the development of robust automated tests, efficient bug identification, and smooth teamwork in distributed environments.

What are some common challenges faced by remote Python QA automation engineers, and how can they be addressed?

Remote Python QA Automation engineers often navigate challenges such as collaborating effectively across different time zones, maintaining clear communication with development teams, and ensuring consistent test environment configurations. To address these, it's important to use robust collaboration tools (like Slack or Jira), set clear expectations for asynchronous communication, and leverage version control and containerization for consistent testing. Regular virtual meetings and thorough documentation also help foster strong teamwork and minimize misunderstandings.

What is the difference between Python Qa Automation Remote vs Python Test Automation Engineer?

AspectPython Qa Automation RemotePython Test Automation Engineer
CredentialsPython, QA, automation toolsPython, testing frameworks, automation tools
Work EnvironmentRemote, collaborative teamsRemote or on-site, tech companies
Industry UsageSoftware testing, QA departmentsSoftware development, QA teams
Search IntentQA automation jobs, remote testing rolesTest automation careers, Python testing jobs

Both roles focus on Python-based automation testing, often working remotely within software or tech companies. The main difference lies in the job titles: Python Qa Automation Remote emphasizes QA-specific tasks, while Python Test Automation Engineer may encompass broader testing responsibilities. Candidates should review job descriptions to determine the best fit based on skills and career goals.

What are popular job titles related to Python Qa Automation Remote jobs in Phoenix, AZ?

For Python Qa Automation Remote jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Python Qa Automation Remote jobs in Phoenix, AZ look for?

The top searched job categories for Python Qa Automation Remote jobs in Phoenix, AZ are:

Python Qa Automation Remote jobs near you

Generative AI Automation Engineer - Remote Job

Scottsdale, AZ • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 19 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