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Remote Ai Engineer Jobs in California (NOW HIRING)

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

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 ...

Remote AI Workflow Engineer (Silicon Engineering Productivity) Overview We are seeking a contract engineer to accelerate development of AI-powered engineering productivity solutions for silicon IP ...

Sr. AI Engineer

San Francisco, CA · On-site +1

$65 - $83.75/hr

Employee divides their time between in-office and remote work. Access to an office location is ... engineering experience * 3+ years in AI/ML engineering, LLM-based systems, or advanced SaaS ...

Explainable AI Engineer

Palo Alto, CA · Remote

$122K - $165K/yr

We're hiring an Explainable AI Engineer to build, verify, and validate business impact predictions ... This is a remote position. USA, Nationwide. * You will have an opportunity to start as a contractor ...

Showing results 21-40

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.

Software AI Engineer

Jade Global

San Jose, CA • Remote

Full-time

Re-posted 20 days ago


Job description

Software AI Engineer2

Experience: 6 - 8 yrs

Location:

1 - US Bay Area

1 - US Remote

Key Responsibilities:
Design, develop, and implement AI/ML models and algorithms using Python.
Deploy and manage AI solutions on cloud platforms (e.g., AWS, Azure, GCP).
Collaborate with data scientists and other engineers to integrate AI models into existing systems.
Optimize AI models for performance, scalability, and cost-efficiency.
Stay up-to-date with the latest advancements in AI/ML technologies and cloud services.
Participate in the full software development lifecycle, including testing, deployment, and monitoring.