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Remote Ai Training Jobs in San Rafael, CA (NOW HIRING)

YO AI Labs

AI Trainer - Remote

San Francisco, CA · Remote

$80 - $120/hr

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 ...

New

YO AI Labs

AI Technical Trainer - Remote

San Francisco, CA · Remote

$80 - $120/hr

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 ...

New

YO AI Labs

AI Engineer - Remote

San Francisco, CA · Remote

$80 - $120/hr

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 ...

YO AI Labs

AI Software Engineer - Remote

San Francisco, CA · Remote

$80 - $120/hr

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 ...

New

YO AI Labs

AI/ML Engineer - Remote

San Francisco, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

New

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See San Rafael, CA salary details

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$47

$86

How much do remote ai training jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote ai training in San Rafael, CA is $47.05, according to ZipRecruiter salary data. Most workers in this role earn between $31.11 and $60.00 per hour, depending on experience, location, and employer.

What is a remote AI training?

A Remote AI Training job involves labeling, annotating, and evaluating data to help improve machine learning models. Workers in this role often review AI-generated responses, assess accuracy, and provide feedback to enhance AI performance. The job is typically done online and requires attention to detail, critical thinking, and familiarity with AI tools. Many companies hire remote AI trainers to refine chatbots, search engines, and other AI-driven applications.

What are the key skills and qualifications needed to thrive in remote AI training?

To thrive in Remote AI Training, you need a solid understanding of machine learning concepts, data annotation techniques, and attention to detail, often supported by relevant coursework or experience in data science or computer science. Familiarity with labeling platforms, data management tools, and sometimes certification in AI-related fields is typically expected. Strong communication, time management, and the ability to work independently are vital soft skills in this remote setting. These skills ensure high-quality, accurate training data for AI models while maintaining productivity and collaboration with distributed teams.

What are some typical challenges faced in remote AI training and how can they be addressed?

One common challenge in Remote AI Training roles is maintaining consistent data quality while managing repetitive tasks independently. To address this, professionals use standardized guidelines, periodic feedback sessions, and collaborative review processes. Remote work also requires strong self-motivation and regular communication with team members to resolve ambiguities or receive updates on project requirements. Employers often provide training sessions and set up digital tools to keep collaboration smooth, ensuring productivity and accuracy across distributed teams.

What are popular job titles related to Remote Ai Training jobs in San Rafael, CA?

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

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

The top searched job categories for Remote Ai Training jobs in San Rafael, CA are:

What cities near San Rafael, CA are hiring for Remote Ai Training jobs?

Cities near San Rafael, CA with the most Remote Ai Training job openings:

Remote Ai Training jobs near you
Infographic showing various Remote Ai Training job openings in San Rafael, CA as of August 2026, with employment types broken down into 2% Internship, 59% Full Time, 17% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $97,871 per year, or $47.1 per hour.

SWE AI Training Data Expert - Remote

YO AI Labs

San Francisco, CA • Remote

$80 - $120/hr

Full-time

Posted 3 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.