ZipRecruiter

Log In

2

Remote Ai Automation Jobs in California (NOW HIRING)

Single Grain

AI Automation Engineer

Los Angeles, CA · Remote

$25/hr

Include "AI automation is cool" in the subject line. Otherwise, your application will be ... Work model and compensation This is a fully remote, full-time contractor role. Pay is $25 per hour.

EnerSys

Senior Finance AI & Automation Developer

Chino, CA · On-site +1

$95K - $142K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA area may be considered for a fully remote arrangement. Job Purpose The Senior Finance AI & Automation ...

VIVA USA INC

AI Workflow Engineer

San Jose, CA · On-site +1

Remote AI Workflow Engineer (Silicon Engineering Productivity) Overview We are seeking a contract ... automation opportunities. Required Qualifications • BS/MS in Computer Engineering, Computer ...

next page

Showing results 1-20

All JobsAi Automation JobsRemote Ai Automation JobsRemote Ai Automation Jobs in California

Remote Ai Automation information

What is a remote AI automation?

A Remote AI Automation job involves using artificial intelligence technologies to design, implement, and manage automated processes or systems from a remote location. Professionals in this field work on tasks such as developing AI models, integrating automation tools, and optimizing workflows to increase efficiency and reduce manual effort. These roles often require skills in programming, machine learning, and process analysis, and are common in industries like IT, finance, healthcare, and e-commerce. Remote AI Automation specialists collaborate with teams virtually, leveraging cloud-based platforms and communication tools to manage projects and support business goals.

What are some common challenges faced by professionals in remote AI automation roles, and how can they be overcome?

Remote AI automation professionals often encounter challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring robust version control for code and automation workflows. Overcoming these obstacles typically involves leveraging collaboration tools like Slack or Microsoft Teams, setting up regular virtual meetings, and using platforms like GitHub for code management. Being proactive in updates and documentation also helps maintain alignment and productivity in a distributed team environment.

What are the key skills and qualifications needed to thrive as a remote AI automation specialist, and why are they important?

To thrive as a Remote AI Automation Specialist, you need a strong background in computer science, programming (especially Python), and experience with AI/ML frameworks, often supported by a relevant degree or certifications. Familiarity with automation platforms (like UiPath or Automation Anywhere), cloud services, and workflow orchestration tools is typically required. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in remote, collaborative environments. These skills ensure the effective design, deployment, and management of AI-driven automation solutions that optimize business processes.

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

AspectRemote Ai AutomationData Analyst
Required CredentialsCertifications in AI, machine learning, programming (Python, R)Degree in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech, AI development, automation solutionsFinance, marketing, healthcare, business intelligence
Search & Comparison IntentUnderstanding AI automation roles, skills, and toolsAnalyzing data, generating reports, insights

Remote Ai Automation specialists focus on developing and implementing AI-driven automation solutions, requiring programming and AI certifications. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data and technology, Remote Ai Automation emphasizes AI development and automation, whereas Data Analysts focus on data interpretation and reporting.

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

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

What are popular job titles related to Remote Ai Automation jobs in California?

For Remote Ai Automation jobs in California, the most frequently searched job titles are:

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

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

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

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

Remote Ai Automation jobs near you
Infographic showing various Remote Ai Automation job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Automation Engineer

Los Angeles, CA • Remote

Single Grain
11 - 50 employees
Learn more about Single Grainexternal

$25/hr

Full-time

Re-posted 15 days ago

Job description

Turn slow workflows into reliable AI-assisted systems

We are hiring an AI Automation Engineer to find high-leverage workflow problems and ship reliable systems that improve revenue per employee. Include “AI automation is cool” in the subject line. Otherwise, your application will be disqualified.

You will own the full path from process discovery through build, rollout, monitoring, documentation, and measured adoption. A demo is not done. The system must work for the people who depend on it.

About Single Grain

Single Grain is a revenue marketing agency. We build pipeline-focused systems that compound, not campaigns that expire. We have helped more than 500 companies, from venture-backed startups to the Fortune 500, drive measurable growth.

We operate as an AI-native team. Every role uses AI to improve speed, quality, judgment, and leverage. AI systems still require clear controls, testing, monitoring, and human review.

Your mission

Build automation systems that create at least $250,000 in annualized efficiency or equivalent documented business leverage and help double revenue per employee over 12 months.

What you will own

  • Map current workflows with the people who do the work.

  • Rank opportunities by frequency, time, error cost, business value, and implementation risk.

  • Build production automations across approved AI models, APIs, data sources, and workflow tools.

  • Add validation, retries, logging, alerts, access controls, and human approval where needed.

  • Train users, document the system, measure adoption, and close gaps after launch.

  • Track time saved, cost avoided, cycle-time change, quality, revenue effect, or another approved KPI.

  • Maintain existing automations and retire systems that no longer create value.

What success looks like

In 30 days, you have mapped the highest-value workflows, set baselines, and shipped one useful production automation.

By 60 days, you have multiple adopted systems with monitoring, owners, documentation, and measured results.

By 90 days, the automation backlog is prioritized by ROI and your shipped systems show meaningful annualized leverage.

Evidence we need to see

  • Two or three production automations with your exact ownership.

  • One measured result tied to time, cost, quality, revenue, adoption, or cycle time.

  • An example of diagnosing a workflow before choosing a tool.

  • Evidence of error handling, monitoring, data controls, and human escalation.

  • A concrete AI automation workflow and an honest account of what failed or changed.

This role is not

  • A prompt-only or prototype-only role.

  • A role that automates a broken process without understanding it.

  • A role that reports theoretical time savings without adoption evidence.

  • A role for unmonitored systems with unclear ownership.

How the process works

  1. Application and evidence review.

  2. A focused workflow and engineering screen.

  3. The published Beat Claude engineering challenge.

  4. A live system-design and tradeoff review.

  5. References and final decision.

Work model and compensation

This is a fully remote, full-time contractor role. Pay is $25 per hour. State your location, working-hour overlap, and start date.

Apply with proof

Send links or documentation for production automations, explain your exact ownership, quantify one result, and describe how you handle reliability, adoption, and human oversight.