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Remote Python Developer Graduate Jobs in San Francisco, CA

As a Software Engineering evaluator, you will create cutting-edge datasets for training ... in Python, JavaScript (including ReactJS), C/C++, Java, and Go; evaluating and refining AI ...

DevOps Engineer

San Francisco, CA · Remote

$54 - $74/hr

Job Role DevOps Engineer Location Remote Duration 6 Months Contract Interview type Video Required ... Strong scripting skills using Power Shell, Python, or other relevant languages * IaC - Terraform ...

As a Software Engineering evaluator, you will create cutting-edge datasets for training ... in Python, JavaScript (including ReactJS), C/C++, Rust, and Go; evaluating and refining AI ...

Strong Python programming skills * Experience working with cloud platforms such as AWS, Azure, or ... Remote-friendly within the United States * Preference for candidates located near major East or ...

Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

As a Software Engineering evaluator, you will create cutting-edge datasets for training ... in Python, JavaScript (including ReactJS), C/C++, Java, and Rust; evaluating and refining AI ...

As a Software Engineering evaluator, you will create cutting-edge datasets for training ... as in Python, JavaScript (including ReactJS), Java, Rust, and Go; evaluating and refining AI ...

Showing results 41-60

Remote Python Developer Graduate information

See San Francisco, CA salary details

$15

$69

$101

How much do remote python developer graduate jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote python developer graduate in San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

What is a remote Python developer graduate?

A Remote Python Developer Graduate is an entry-level software developer who specializes in programming with Python and works remotely, often from home or another location outside a traditional office. These graduates typically have recently completed a degree or coursework in computer science or a related field and are beginning their careers in software development. Their responsibilities usually include writing and testing Python code, collaborating with teams online, fixing bugs, and learning new technologies and best practices. Remote work enables them to contribute to projects from anywhere, requiring good communication and self-management skills.

What are the key skills and qualifications needed to thrive as a remote Python developer graduate?

To thrive as a Remote Python Developer Graduate, you need a solid understanding of Python programming, basic software engineering principles, and ideally a relevant degree or certification. Familiarity with version control systems like Git, development environments such as PyCharm or VS Code, and frameworks like Django or Flask is typically expected. Strong problem-solving skills, self-motivation, and effective written communication are crucial soft skills for remote collaboration. These skills ensure the ability to deliver high-quality code independently, adapt to remote team workflows, and contribute effectively to software projects.

What are the common challenges faced by remote Python developer graduates when starting their careers, and how can they overcome them?

As a Remote Python Developer Graduate, you may encounter challenges such as effective communication across different time zones, managing your workload independently, and bridging the gap between academic knowledge and real-world coding practices. To overcome these, it’s important to proactively participate in team meetings, regularly seek feedback from mentors, and leverage collaborative tools like version control and project management software. Additionally, dedicating time to continuous learning and real-world coding exercises can help you quickly adapt to industry standards and expectations.

What is the difference between Remote Python Developer Graduate vs Remote Data Analyst Graduate?

AspectRemote Python Developer GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's in Computer Science or related field, basic programming skillsBachelor's in Statistics, Mathematics, or related field, data analysis skills
Work EnvironmentTech companies, startups, software development teamsBusiness, finance, marketing departments, data-driven organizations
Industry UsageSoftware development, tech industry, IT servicesFinance, marketing, consulting, healthcare
Common Search/ComparisonYesYes

Remote Python Developer Graduates typically focus on coding, software development, and programming in Python, often working in tech companies. Remote Data Analyst Graduates analyze data, create reports, and support decision-making in various industries. While both roles require analytical skills and a bachelor's degree, Python developers emphasize coding skills, whereas data analysts focus on data interpretation. The choice depends on your interest in programming versus data analysis.

What are popular job titles related to Remote Python Developer Graduate jobs in San Francisco, CA?

For Remote Python Developer Graduate jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python Developer Graduate jobs in San Francisco, CA look for?

The top searched job categories for Remote Python Developer Graduate jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Python Developer Graduate jobs?

Cities near San Francisco, CA with the most Remote Python Developer Graduate job openings:

Machine Learning Engineer - Remote

YO AI Labs

San Francisco, CA • Remote

$80 - $120/hr

Full-time

Posted 6 days ago


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.