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Remote Ai Engineer Jobs in California (NOW HIRING)

AI Engineer - Remote

Palo Alto, CA ยท 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 ...

AI Engineer - Remote

San Jose, CA ยท 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 ...

AI Engineer - Remote

San Francisco, CA ยท 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 ...

AI Engineer - Remote

Los Angeles, CA ยท 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 ...

... AI Engineers (Enterprise) to help design, build, and deploy production-grade generative AI ... Remote-friendly within the United States * Preference for candidates located near major East or ...

AI Engineer

San Diego, CA ยท Remote

$50 - $58/hr

Remote AI/ML Software Engineer, Generative AI Are you passionate about building Generative AI systems that move beyond prototypes and create real business impact? A leading healthcare technology ...

AI Engineer

San Francisco, CA ยท Remote

$150K - $210K/yr

AI Engineer - Agentic Automation Location ... Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ...

Forward Deployed AI Engineer, West

San Francisco, CA ยท On-site +1

$155K - $190K/yr

While we are a remote-first company, the nature of this role requires candidates to be based in the ... ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating ...

AI Engineer

San Francisco, CA ยท On-site +1

$155K - $180K/yr

We are looking for an AI Engineer to help build our next-generation conversational AI experiences ... We will also consider highly qualified remote candidates who can travel to San Francisco for in ...

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...

Lead AI Engineer

Los Angeles, CA ยท Remote

$160K - $180K/yr

Lead AI Engineer, Mortgage Automation About the Company We're a fast growing mortgage lender using ... Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ...

Lead AI Engineer

Los Angeles, CA ยท Remote

$160K - $180K/yr

Lead AI Engineer, Mortgage Automation About the Company We're a fast growing mortgage lender using ... Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ...

Remote / Flexible Employment Type: Full-time Focus: AI Agents, Enterprise Legal Tech, Contract Intelligence, Full-Stack Engineering About Our Client Our client is building the next generation of ...

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Showing results 1-20

Remote Ai Engineer information

See California salary details

$25

$52

$75

How much do remote ai engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote ai engineer in California is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $61.44 per hour, depending on experience, location, and employer.

What is a remote AI engineer?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a remote AI engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the most commonly searched types of Ai Engineer jobs in California?

The most popular types of Ai Engineer jobs in California are:

What cities in California are hiring for Remote Ai Engineer jobs?

Cities in California with the most Remote Ai Engineer job openings:

Infographic showing various Remote Ai Engineer job openings in California as of August 2026, with employment types broken down into 2% Internship, 79% Full Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,091 per year, or $52.9 per hour.

AI Engineer - Remote

YO AI Labs

Palo Alto, CA โ€ข Remote

$80 - $120/hr

Full-time

Posted 10 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.