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Remote Artificial Intelligence Jobs in California

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How much do remote artificial intelligence jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote artificial intelligence in California is $59.28, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $63.80 per hour, depending on experience, location, and employer.

What is a remote artificial intelligence job?

A Remote Artificial Intelligence job involves working with AI technologies and systems, such as machine learning, natural language processing, or computer vision, from a location outside the traditional office environment. Professionals in these roles may design, develop, and deploy AI models or applications for various industries. Remote AI jobs often require strong technical skills in programming, data analysis, and AI frameworks, and can include positions like AI engineer, data scientist, or machine learning researcher. These roles enable individuals to collaborate with global teams and contribute to cutting-edge projects without being tied to a specific physical location.

What are some common challenges faced by professionals working remotely in artificial intelligence roles?

Remote Artificial Intelligence professionals often encounter challenges related to communication and collaboration, especially when working on complex projects that require input from cross-functional teams. Coordinating across different time zones and ensuring alignment on project goals can require extra effort and the use of collaboration tools. Additionally, staying updated with the latest AI research and maintaining access to necessary computing resources remotely may require proactive planning. Building a strong remote work routine and engaging in regular team meetings can help mitigate these challenges.

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

To thrive as a Remote Artificial Intelligence Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and cloud platforms is typically required. Exceptional problem-solving, self-motivation, and effective communication skills help you collaborate across distributed teams and drive innovation. These abilities are vital for developing robust AI solutions and maintaining productivity in a remote work environment.

What is the difference between Remote Artificial Intelligence vs Remote Data Scientist?

AspectRemote Artificial IntelligenceRemote Data Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Data Science, Statistics, or related fields; certifications in Data Analysis/ML
Work EnvironmentCollaborative teams, research labs, tech companiesData analysis teams, research institutions, tech firms
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models
Search & Comparison IntentHigh overlap in skills and job functions, often compared in AI roles

Remote Artificial Intelligence and Remote Data Scientist roles share many skills, including data analysis, machine learning, and programming. However, AI roles focus more on developing intelligent systems and algorithms, while Data Scientists primarily analyze data to generate insights. Both roles are in high demand across tech industries and often require similar educational backgrounds and certifications.

More about Remote Artificial Intelligence jobs

What are the most commonly searched types of Artificial Intelligence jobs in California?

The most popular types of Artificial Intelligence jobs in California are:

What are popular job titles related to Remote Artificial Intelligence jobs in California?

For Remote Artificial Intelligence jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Artificial Intelligence jobs in California look for?

The top searched job categories for Remote Artificial Intelligence jobs in California are:

What cities in California are hiring for Remote Artificial Intelligence jobs?

Cities in California with the most Remote Artificial Intelligence job openings:

Remote Artificial Intelligence jobs near you
Infographic showing various Remote Artificial Intelligence job openings in California as of August 2026, with employment types broken down into 65% Full Time, 21% Part Time, 7% Temporary, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,293 per year, or $59.3 per hour.

VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA • Remote

$212K - $273K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 12 days ago

Job description

Job Description

VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home

As the VP of Engineering Applications, you will turn intelligence into a real product.  The VP of Engineering Applications is responsible for the engineering systems, teams, and execution that turn Machine Learning (ML) capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms.  The VP of Engineering Applications role is a senior engineering leader who stays close to the product, makes hard technical decisions, and holds a high bar for quality and delivery.  This position is 100% Remote.

VP of Engineering Applications Responsibilities:

- Own the application engineering strategy and execution across backend, mobile, and desktop.

- Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.

- Set the architectural direction for Artificial Intelligence (AI)-powered product workflows, APIs, and client integrations.

- Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.

- Partner closely with Machine Learning leadership to translate model capability into shippable product features.

- Make high-impact decisions across latency, cost, reliability, security, and user experience.

- Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift.

- Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.

- Balance speed and discipline shipping quickly without compromising long-term system quality.

VP of Engineering Applications Outcomes:

- Reliable, low-latency Artificial Intelligence (AI) user experiences across backend, mobile, and desktop

- Clear architectural boundaries that allow teams to move fast without constant rewrites.

- Measurable improvements in system performance, stability, and production reliability.

- Strong observability and operational discipline across all application systems.

- A small, senior team that ships frequently, owns what they build, and raises the technical bar.

- Team members are empowered, growing in their roles, and able to make high-impact contributions.

Qualifications

VP of Engineering Applications Qualifications:

- Significant experience leading application or product engineering for complex systems.

- Artificial Intelligence (AI) experience required.

- Strong hands-on background building and shipping backend systems used in production.

- Experience delivering Artificial Intelligence (AI)-powered products, with a deep understanding of model integration trade-offs.

- Excellent system design skills across services, APIs, clients, and data flows.

- Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.

- Proven ability to make high-impact technical decisions under ambiguity.

- A strong bias toward shipping, iteration, and learning from real-world usage.

- Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, VP of Engineering Applications, AI, Artificial Intelligence, APIs, Application Engineering, Backend, Desktop, Low Latency, ML, Machine Learning, Product Engineering, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a VP of Engineering Applications in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire VPs of Engineering Applications for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.nextstepsystems.com.