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Remote Python Automation Engineer Jobs in Saint Albans, WV

Quora

AI Automation Engineer -Remote

Charleston, WV · On-site +1

$202.38K - $234.20K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

LTS

Automation Team Analyst

Charleston, WV · Remote

United States - Remote Other Considerations: U.S. Citizen or Permanent Resident Required with the ... the Automation Engineer and Technology and Innovation Team, the Process Automation Analyst ...

Experian

Senior Data Platform Engineer, Remote

Charleston, WV · On-site +1

$98.10K - $133.20K/yr

... automation tools with expertise in CI/CD pipelines and best practices with Terraform and Python ... Flexible work environment, ability to work remote, hybrid or in-office * Flexible time off ...

Altisource

Finance AI & Automation Lead

Charleston, WV · Remote

... FP&A engineering, data engineering, or similar). * Deep SQL and data modeling expertise; advanced Python for automation, data pipelines, and AI agent development. * Hands‑on experience with ...

Teramind

Senior Sales Engineer

Charleston, WV · Remote

Exposure to scripting (Python, PowerShell, Bash) for basic automation tasks. Communication ... To us, remote work means flexibility and having truly diverse, global teams. Additionally: • ...

Coalfire

Junior Site Reliability Engineer

Charleston, WV · Remote

$58.25 - $77.50/hr

You will work within major public clouds, utilizing automation and your technical abilities to ... This can be a remote position (must be located in the United States). What You'll Do * Become a ...

RYZ Labs

Data Center Network Engineer

Charleston, WV · Remote

Scripting/automation (Python, Ansible) and version control (Git). Certifications a plus: CCNP/CCIE ... Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge ...

Luxury Presence

Sr. Data Engineer - US (Remote)

Charleston, WV · Remote

$117.20K - $140.70K/yr

Proficiency in Python (Pydantic preferred) and familiarity with Node/TypeScript is a plus ... Interest in applying AI/ML or automation to improve data workflows is a plus * Proven track record ...

Quanata

Senior Systems Engineer [Remote-US]

Charleston, WV · Remote

$165K - $195K/yr

Automation through scripting or IaC frameworks * Enterprise application integrations * SSO * SAML ... Proficiency in one or more scripting languages (e.g., Ruby, Python, TypeScript, or Bash). Salary ...

ActiveCampaign

Senior Detection Engineer

Charleston, WV · Remote

$107K - $146.90K/yr

This is a technical, hands-on role combining security engineering, automation development, and ... Advanced programming proficiency in Python , with a proven ability to build production-quality ...

ActiveCampaign

Senior Fraud Engineer

Charleston, WV · Remote

$107K - $146.90K/yr

Deploy complex detection logic and custom Python services, utilizing Sift rules to automate real ... Prior experience in SaaS messaging , marketing automation, or Email Service Provider (ESP ...

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Remote Python Automation Engineer information

See Saint Albans, WV salary details

$20.9K

$127.2K

$184.1K

How much do remote python automation engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote python automation engineer in Saint Albans, WV is $127,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $149,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Automation Engineer, and why are they important?

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.

How does a Remote Python Automation Engineer typically collaborate with cross-functional teams, given the remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is a Remote Python Automation Engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

Remote Python Automation Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Charleston, WV • Remote

Other

Posted 8 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