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Remote Artificial Intelligence Engineer Jobs in Berkeley, CA

Showing results 21-40

Remote Artificial Intelligence Engineer information

See Berkeley, CA salary details

$47.8K

$124.6K

$168.4K

How much do remote artificial intelligence engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote artificial intelligence engineer in Berkeley, CA is $124,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $142,600.00 per year, depending on experience, location, and employer.

What does a remote artificial intelligence engineer do?

A Remote Artificial Intelligence Engineer designs, develops, and implements AI models and systems while working from a location outside of a traditional office. Their responsibilities include building machine learning algorithms, analyzing large datasets, optimizing AI solutions, and collaborating with teams virtually. They may work on projects such as natural language processing, computer vision, or predictive analytics, often using programming languages like Python or frameworks like TensorFlow. Remote AI Engineers use digital communication tools to coordinate with colleagues and deliver innovative AI-powered solutions across various industries.

How does a remote artificial intelligence engineer typically collaborate with cross-functional teams?

Remote Artificial Intelligence Engineers frequently work with data scientists, software developers, and product managers through virtual meetings, collaborative platforms, and shared project management tools. Clear communication and documentation are essential to ensure alignment on project goals, data requirements, and deployment timelines. Regular check-ins and agile workflows help bridge the gap of physical distance, making teamwork efficient even when team members are spread across different locations.

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

To thrive as a Remote Artificial Intelligence Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in programming languages like Python, and familiarity with tools such as TensorFlow, PyTorch, and cloud platforms are typically required. Excellent problem-solving, communication, and self-management skills help you collaborate effectively with distributed teams and manage projects independently. These abilities are crucial for developing innovative AI solutions and ensuring smooth teamwork in a remote work environment.

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

AspectRemote Artificial Intelligence EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and systems remotelyAnalyzes data, builds predictive models remotely
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research organizations

Remote Artificial Intelligence Engineers focus on developing AI systems and algorithms, while Remote Data Scientists analyze data to generate insights. Both roles often require similar educational backgrounds and work remotely in tech-driven industries, but their core responsibilities differ in AI development versus data analysis.

Can you work remotely as a remote artificial intelligence engineer?

Yes, many artificial intelligence engineers work remotely, especially those involved in software development, data analysis, and model training, which can often be done from any location with a stable internet connection. Remote AI engineering roles typically require strong programming skills, knowledge of machine learning frameworks, and sometimes certifications, but they offer flexibility in work location and schedule.

How much do remote artificial intelligence engineers make?

Remote artificial intelligence engineers typically earn between $80,000 and $150,000 annually, depending on experience, skills, and the complexity of projects. Senior roles or those with specialized expertise in machine learning, deep learning, or specific tools may offer higher salaries, especially in competitive markets.

Is a remote artificial intelligence engineer still in demand?

Remote artificial intelligence engineers are currently in high demand due to the growing adoption of AI technologies across industries. Skills in machine learning, deep learning, and programming languages like Python are highly valued, and remote work options are increasingly available for qualified candidates.

What are popular job titles related to Remote Artificial Intelligence Engineer jobs in Berkeley, CA?

For Remote Artificial Intelligence Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Artificial Intelligence Engineer jobs in Berkeley, CA look for?

The top searched job categories for Remote Artificial Intelligence Engineer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Artificial Intelligence Engineer jobs?

Cities near Berkeley, CA with the most Remote Artificial Intelligence Engineer job openings:

Infographic showing various Remote Artificial Intelligence Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $124,589 per year, or $59.9 per hour.

Technical Lead, Applications, Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA โ€ข Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago


Job description

Job Description

Technical Lead, Applications, Artificial Intelligence (AI) Required, Work From Home

As the Technical Lead, Applications, you directly own the core application architecture that connects AI systems to real-world user experiences.  You will be responsible for the design, reliability, and evolution of backend services, APIs, and client integrations across mobile and desktop.  This is a hands-on leadership role.  You will stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales.  This position is 100% Remote.

Technical Lead 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.

- Ensure production-grade reliability: observability, monitoring, retries, fallbacks, and failure handling.

- Set the architectural direction for 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 (ML) leadership to translate model capability into shippable product features.

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

- Establish a strong execution culture through code reviews, design reviews, and hands-on technical leadership.

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

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

Technical Lead Outcomes:

- Production systems are observable, monitored, and stable under real-world load.

- Decisions consistently balance speed, cost, reliability, and user experience.

- Features across backend, mobile, and desktop work smoothly and reliably.

- Latency and reliability improve measurably over time.

Qualifications

Technical Lead 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.

- Move fast without breaking fundamentals.

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

Keywords:  San Francisco CA Jobs, Technical Lead, Applications, AI, APIs, Artificial Intelligence, Backend, Desktops, Mobile, Product Engineering, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Technical Lead 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 Technical Leads 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.