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Remote Python Developer Apprenticeship Jobs in San Francisco, CA

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 ...

Remote Job Overview We are seeking experienced SolidWorks Specialists to contribute their expertise ... Reverse engineering (Scan-to-CAD). * Manufacturability analysis. * Python, iLogic, and VBA ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Programmer - AI Trainer

Concord, CA · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

Programmer - AI Trainer

Hayward, CA · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

AI Agentic Engineer

San Francisco, CA · On-site +1

$62 - $85/hr

Employee divides their time between in-office and remote work. Access to an office location is ... Familiarity with Agile, DevOps, and CI/CD practices * Familiarity with containerization and ...

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a Staff ... Proficient in Python or TypeScript and familiar with LangChain‑style frameworks. * Strong demo ...

Showing results 41-60

Remote Python Developer Apprenticeship information

See San Francisco, CA salary details

$15

$69

$101

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

As of Sep 5, 2026, the average hourly pay for remote python developer apprenticeship 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 apprenticeship?

A Remote Python Developer Apprenticeship is a structured training program where aspiring Python developers work remotely while learning on the job. Apprentices typically gain hands-on experience by working on real-world projects under the guidance of experienced mentors. The apprenticeship is designed to help individuals develop their coding skills, understand software development workflows, and prepare for full-time developer roles. This pathway is ideal for those who want to learn Python development while enjoying the flexibility of remote work.

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

To thrive as a Remote Python Developer Apprentice, you need a solid understanding of Python programming, basic knowledge of software development principles, and a relevant educational background or bootcamp experience. Familiarity with version control (such as Git), code editors (like VS Code), and issue tracking systems (e.g., Jira) is typically required. Strong problem-solving ability, self-motivation, and effective remote communication skills help apprentices stand out. These skills and qualities are vital for successfully learning, collaborating, and contributing in a distributed, fast-paced development environment.

What are some common challenges faced by remote Python developer apprentices and how can they be overcome?

Remote Python developer apprentices often encounter challenges such as limited face-to-face mentorship, managing time effectively, and staying motivated without in-person supervision. To overcome these, it's important to proactively communicate with mentors and peers through regular virtual meetings and collaborative platforms. Setting clear daily or weekly goals, maintaining a structured routine, and participating in online coding communities can also help apprentices stay engaged and on track with their learning and project responsibilities.

What is the difference between Remote Python Developer Apprenticeship vs Remote Python Developer?

AspectRemote Python Developer ApprenticeshipRemote Python Developer
CredentialsTypically requires basic programming knowledge, some may need a degree or coding bootcamp completionRequires proficiency in Python, often with a degree or relevant experience
Work EnvironmentStructured training program, mentorship, entry-level tasksFull responsibility for projects, more autonomous work
Industry UsageUsed by companies to train new talent, often in tech, startups, and educational programsEmployed directly by companies or clients to develop software solutions

The Remote Python Developer Apprenticeship is an entry-level training program designed to build foundational skills under mentorship, while a Remote Python Developer is a more experienced role responsible for developing and maintaining Python applications independently.

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

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

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

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

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

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

AI Agent Evaluation Engineer - Remote

YO AI Labs

San Francisco, CA • Remote

$80 - $120/hr

Full-time

Posted 9 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.