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Remote Ai Operations Jobs in California (NOW HIRING)

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production ... No prior AI experience is required--your DevOps expertise and engineering judgment are what matter ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

AI/ML Engineer - Remote

Palo Alto, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Follow modern secure coding, DevOps, and CI/CD practices. * Document technical decisions and ...

Remote Job Overview We are seeking experienced CRM Operations Specialists to contribute to a ... No prior AI experience is required--your CRM and sales operations expertise is what matters most.

Head of Operations (Remote)

Palo Alto, CA · On-site +1

$175K - $275K/yr

We are hiring a Head of Operations to lead the day-to-day operations of our complex and market ... Ahead of trends in AI for support, automation, and customer intelligence tools * Proven track ...

Head of Operations (Remote)

Palo Alto, CA · On-site +1

$175K - $275K/yr

We are hiring a Head of Operations to lead the day-to-day operations of our complex and market ... Ahead of trends in AI for support, automation, and customer intelligence tools * Proven track ...

Showing results 21-40

Remote Ai Operations information

What is the difference between Remote Ai Operations vs Data Analyst?

AspectRemote Ai OperationsData Analyst
Required CredentialsBackground in AI, machine learning, or data science; often requires certifications in AI tools or programming languagesDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, collaborative teams focused on AI model deployment and maintenanceRemote or on-site, analyzing data sets to generate insights
Industry UsageTech companies, AI startups, research institutionsFinance, marketing, healthcare, and other sectors relying on data insights

Remote Ai Operations and Data Analysts both work with data, but Remote Ai Operations focuses on managing AI systems and models, while Data Analysts interpret data to inform business decisions. The roles share skills in data handling and analysis but differ in their focus on AI deployment versus data interpretation.

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

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

What job categories do people searching Remote Ai Operations jobs in California look for?

The top searched job categories for Remote Ai Operations jobs in California are:

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

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

Infographic showing various Remote Ai Operations job openings in California as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

DevOps Engineer - Remote

YO AI Labs

Los Angeles, CA • Remote

$50 - $150/hr

Full-time

Posted 10 days ago


Job description

DevOps Engineer

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.

No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most.

Key Responsibilities
  • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
  • Create working reference solutions with clear setup and validation steps.
  • Review AI-generated solutions, identify failures, and provide precise technical corrections.
  • Maintain high standards for correctness, reliability, and reproducibility.
  • Provide structured feedback to improve AI-generated DevOps workflows.
Required Skills
  • Kubernetes
  • Terraform
  • CI/CD
  • Python
  • Linux
  • Docker
  • Git
  • Cloud Platforms
  • Infrastructure as Code
Required Qualifications
  • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
  • Strong coding skills in Python, Go, Bash, or TypeScript.
  • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Practical experience with Docker, Kubernetes, and at least one major cloud platform.
  • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
  • Advanced Linux and Git skills.
  • Strong written and spoken English.
  • Availability of at least 20 hours per week.
Preferred Qualifications
  • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
  • Background in security, secrets management, or platform reliability.
  • Open-source contributions or technical writing experience.
  • Previous experience with AI training data or model evaluation.