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Remote Python Machine Learning Jobs in Watsonville, CA

YO AI Labs

AI Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

Backend Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Trainer - Remote

San Jose, CA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

Backend Developer - Remote

San Jose, CA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

RL Environment Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Technical Trainer - Remote

San Jose, CA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI coding agents Expert - Remote

San Jose, CA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI/ML Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Create reinforcement learning environments for software engineering tasks. * Design tasks involving ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

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All JobsPython Machine Learning JobsRemote Python Machine Learning JobsRemote Python Machine Learning Jobs in Watsonville, CA

Remote Python Machine Learning information

See Watsonville, CA salary details

$13

$61

$90

How much do remote python machine learning jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for remote python machine learning in Watsonville, CA is $61.75, according to ZipRecruiter salary data. Most workers in this role earn between $50.91 and $70.14 per hour, depending on experience, location, and employer.

What is a remote Python machine learning?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What does a remote Python machine learning professional do?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the key skills and qualifications needed to thrive in remote Python machine learning?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What cities near Watsonville, CA are hiring for Remote Python Machine Learning jobs?

Cities near Watsonville, CA with the most Remote Python Machine Learning job openings:

Remote Python Machine Learning jobs near you
Infographic showing various Remote Python Machine Learning job openings in Watsonville, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,450 per year, or $61.8 per hour.

AI Engineer - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 15 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.