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Remote Python Ai Jobs in San Jose, CA (NOW HIRING)

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 ...

AI/ML Engineer - Remote

San Jose, CA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

AI/ML Engineer - Remote

Palo Alto, CA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands ...

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 ...

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 ...

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 ...

Remote Job Overview We are seeking experienced GIS / Geospatial Experts with hands-on experience in ... Document technical workflows using Python and AI coding agents . * Apply tools such as Codex ...

Remote Job Overview We are seeking experienced GIS / Geospatial Experts with hands-on experience in ... Document technical workflows using Python and AI coding agents . * Apply tools such as Codex ...

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Remote Python Ai information

See San Jose, CA salary details

$15

$68

$101

How much do remote python ai jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote python ai in San Jose, CA is $68.70, according to ZipRecruiter salary data. Most workers in this role earn between $56.63 and $78.03 per hour, depending on experience, location, and employer.

What is a remote Python AI job?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What skills and qualifications are needed to thrive as a remote Python AI developer?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Remote Python Ai jobs in San Jose, CA?

For Remote Python Ai jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python Ai jobs in San Jose, CA look for?

The top searched job categories for Remote Python Ai jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Remote Python Ai jobs?

Cities near San Jose, CA with the most Remote Python Ai job openings:

AI coding agents Expert - Remote

YO AI Labs

San Jose, CA โ€ข 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.