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Remote Python Automation Engineer Jobs in San Pablo, CA

Turing

Remote Python Developer

San Francisco, CA · Remote

$200 - $300/hr

Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns. * Hypothesize on steps in the software engineering cycle (prototyping ...

Robert Half

QA Automation Engineer IV

San Ramon, CA · Remote

$109K - $165K/yr

Build scalable, reusable automation frameworks using Robot Framework, Selenium, Python , and ... Collaborate with developers and product teams to identify automation opportunities early in the ...

Arbital Health

QA Automation Engineer

San Francisco, CA · On-site +1

$140K - $160K/yr

We're looking for a QA Automation Engineer to lead and elevate quality across our SaaS platform and ... Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS, FastAPI Claude, Cursor, Gemini ...

Arbital Health

QA Automation Engineer

San Francisco, CA · On-site +1

$140K - $160K/yr

We're looking for a QA Automation Engineer to lead and elevate quality across our SaaS platform and ... Python, or similar) ● Proven experience using automation frameworks for UI testing, such as ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

HubSpot or Salesforce API experience - contact management, custom properties, workflow automation ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$51.50 - $71/hr

HubSpot or Salesforce API experience -- contact management, custom properties, workflow automation ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

HubSpot or Salesforce API experience - contact management, custom properties, workflow automation ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

ABB

Senior Technical Business Developer - Grid Automation

CA · Remote

$106K - $139K/yr

... Developer to lead the expansion of our Grid Automation portfolio in the U.S. market. This role ... This is a remote position. Candidates can be located anywhere in the US, with preference for Cary ...

YO AI Labs

DevOps Engineer - Remote

San Francisco, CA · Remote

$50 - $150/hr

... and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes ... CI/CD * Python * Linux * Docker * Git * Cloud Platforms * Infrastructure as Code Required ...

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Remote Python Automation Engineer information

See San Pablo, CA salary details

$25.9K

$157.7K

$228.2K

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

As of Sep 11, 2026, the average yearly pay for remote python automation engineer in San Pablo, CA is $157,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $185,400.00 per year, depending on experience, location, and employer.

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

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 in a 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 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.

What are popular job titles related to Remote Python Automation Engineer jobs in San Pablo, CA?

For Remote Python Automation Engineer jobs in San Pablo, CA, the most frequently searched job titles are:

What cities near San Pablo, CA are hiring for Remote Python Automation Engineer jobs?

Cities near San Pablo, CA with the most Remote Python Automation Engineer job openings:

Remote Python Automation Engineer jobs near you

Remote Python Developer

San Francisco, CA • Remote

Turing
IT Services • 51 - 200 employees
Learn more about Turingexternal

$200 - $300/hr

Contractor

Medical, PTO

Posted 18 days ago

Job description

About Us:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Ideal Background:
This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:
  • Several years of software engineering experience (3 years or more).
  • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
  • Experience building full-stack applications and deploying scalable software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:
  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
  • Type: Contractor (no medical/paid leave).
  • Duration: 1 month (potential extensions based on performance and fit).
  • Location: Candidates must be based in the United States.

Evaluation Process:
  • The application process takes 15–30 minutes.
  • Completion of an AI video interview is required.