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Python Backend Developer Remote Jobs in Covina, CA

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

New

Backend Java Developer Job Type: Contractor Location: Remote Job Overview We are seeking experienced Backend Java Developers to support a high-impact technology and AI training project. In this role ...

Backend Engineer - Remote

Los Angeles, CA ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

New

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

New

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... About the role We're looking for a Backend Engineer who wants to build and own critical systems in ...

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Python Backend Developer Remote information

See Covina, CA salary details

$16.7K

$155K

$199.7K

How much do python backend developer remote jobs pay per year?

As of Aug 29, 2026, the average yearly pay for python backend developer remote in Covina, CA is $154,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,100.00 and $175,100.00 per year, depending on experience, location, and employer.

What does a Python backend developer do?

A remote Python Backend Developer designs, builds, and maintains the server-side logic of web applications using the Python programming language. They are responsible for developing APIs, managing databases, ensuring application performance, and integrating third-party services. Working remotely, they collaborate with front-end developers, DevOps, and other team members through online tools to deliver scalable and reliable software solutions.

How does a Python backend developer typically collaborate with front-end developers and other team members in a remote setting?

As a remote Python Backend Developer, you'll frequently collaborate with front-end developers, DevOps engineers, and product managers using tools like Slack, Jira, and GitHub. Regular stand-up meetings and code reviews help ensure alignment on project goals and timelines. You'll often work closely with front-end developers to design APIs, resolve integration issues, and implement new features, requiring clear communication and thorough documentation. Effective collaboration in a remote environment relies on proactive updates, responsive communication, and a strong understanding of team workflows.

What are the key skills and qualifications needed to thrive as a Python backend developer, and why are they important?

To thrive as a Python Backend Developer (Remote), you need strong proficiency in Python programming, knowledge of backend frameworks (such as Django or Flask), and experience with database management, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, RESTful API design, and cloud platforms (e.g., AWS or Azure) is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set top developers apart. These skills ensure robust, scalable backend solutions are delivered efficiently while collaborating seamlessly with distributed teams.

What is the difference between Python Backend Developer Remote vs Python Web Developer?

AspectPython Backend Developer RemotePython Web Developer
Required SkillsPython, Django/Flask, REST APIs, databasesPython, Django/Flask, HTML/CSS, JavaScript
Work EnvironmentRemote, independent or team-basedRemote or on-site, often collaborative
Industry UsageTech, startups, SaaS companiesWeb development agencies, tech firms
CertificationsPython certifications, web frameworksPython certifications, web development courses

Both roles involve Python programming and web development skills, but Python Backend Developers focus on server-side logic, APIs, and databases, often working remotely. Python Web Developers may have a broader skill set including front-end technologies and may work in various environments. The roles overlap significantly, but the backend role emphasizes server-side architecture.

How much do remote Python backend developers make?

Remote Python backend developers typically earn between $80,000 and $130,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills like Django or Flask may offer higher salaries, especially with additional certifications or cloud experience.

Is Python backend developer in demand?

Python backend developers are in high demand due to the language's versatility, ease of use, and widespread adoption in web development, data science, and automation. Many companies seek professionals skilled in frameworks like Django and Flask, along with knowledge of REST APIs and database integration, making this a strong career choice with good job prospects.

What cities near Covina, CA are hiring for Python Backend Developer Remote jobs?

Cities near Covina, CA with the most Python Backend Developer Remote job openings:

Infographic showing various Python Backend Developer Remote job openings in Covina, CA as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $154,980 per year, or $74.5 per hour.

Backend Developer - Remote

YO AI Labs

Los Angeles, CA โ€ข Remote

$80 - $120/hr

Full-time

Posted 2 days ago

New


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.