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Remote Ai Jobs in Santa Rosa, CA (NOW HIRING)

Doxel

Staff Software Engineer, Full Stack

Bodega Bay, CA · Remote

$200K - $250K/yr

Doxel brings computer vision and AI to construction, giving teams real-time visibility into ... Remote first culture (for most roles) * Comprehensive Health Insurance (Medical, Dental, Vision)

Block

Senior Software Engineer, Cash App Taxes

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... Apply an AI-first mindset in your everyday work, raising the bar of AI application on our team You ...

AIO App Inc

Account Executive (Remote)

Bodega Bay, CA · Remote

Account Executive Hybrid- Field and office Full-Time Reports to Regional Sales Manager About AIO AIO is building the AI-native operating system for the restaurant industry - purpose-built software ...

AIO App Inc

Account Executive (Remote)

Bodega Bay, CA · Remote

Account Executive Hybrid- Field and office Full-Time Reports to Regional Sales Manager About AIO AIO is building the AI-native operating system for the restaurant industry - purpose-built software ...

Talence Group LLC

Vice President FP&A

Santa Rosa, CA · Remote

VP, FP&A Hybrid or Remote If remote, this leader will need to be onsite regularly at the St. Helena ... Identify and implement practical AI-enabled tools and advanced analytics to improve forecast ...

Talence Group LLC

Vice President FP&A

Santa Rosa, CA · On-site +1

VP, FP&A Hybrid or Remote If remote, this leader will need to be onsite regularly at the St. Helena ... Identify and implement practical AI-enabled tools and advanced analytics to improve forecast ...

Talence Group LLC

Vice President FP&A

Santa Rosa, CA · On-site +1

VP, FP&A Hybrid or Remote If remote, this leader will need to be onsite regularly at the St. Helena ... Identify and implement practical AI-enabled tools and advanced analytics to improve forecast ...

Talence Group LLC

Vice President FP&A

Saint Helena, CA · Remote

VP, FP&A Hybrid or Remote If remote, this leader will need to be onsite regularly at the St. Helena ... Identify and implement practical AI-enabled tools and advanced analytics to improve forecast ...

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Showing results 41-60

All JobsAi JobsRemote Ai JobsRemote Ai Jobs in Santa Rosa, CA

Remote Ai information

See Santa Rosa, CA salary details

$91.3K

$138.9K

$187K

How much do remote ai jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote ai in Santa Rosa, CA is $138,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $156,900.00 per year, depending on experience, location, and employer.

Are these remote AI jobs legit?

Remote AI jobs are legitimate opportunities in the technology industry, often involving tasks like data annotation, model training, or software development. However, job seekers should verify the employer's credibility, review job descriptions carefully, and be cautious of scams that request upfront payments or personal information.

What are common challenges faced by remote AI engineers, and how do teams typically address them?

Remote AI Engineers often encounter challenges such as collaborating across time zones, communicating complex technical concepts virtually, and maintaining alignment with rapidly evolving project goals. Companies usually address these by leveraging robust project management tools, scheduling regular virtual meetings, and encouraging active participation through collaborative platforms like Slack or GitHub. Teams may also implement documentation best practices and mentorship programs to foster skill sharing and support remote integration. With access to virtual collaboration resources and clear processes, remote engineers are empowered to contribute effectively and stay aligned with team objectives.

What remote AI jobs can be done remotely?

Remote AI jobs include roles such as AI software engineer, machine learning engineer, data scientist, and AI research scientist. These positions often require skills in programming, data analysis, and familiarity with AI frameworks, and they can typically be performed from any location with a reliable internet connection.

What is a remote AI?

A Remote AI job refers to a position where professionals work on artificial intelligence projects from a remote location. These roles can include machine learning engineers, data scientists, AI researchers, and software developers who build, improve, and maintain AI models and systems. Remote AI jobs allow professionals to collaborate online, using cloud-based tools and communication platforms to develop intelligent solutions for various industries.

What are the key skills and qualifications needed to thrive in the remote AI position?

To thrive as a Remote AI Engineer, you need expertise in machine learning, data analysis, and proficiency in programming languages like Python or R, supported by a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow or PyTorch and familiarity with cloud platforms (AWS, Azure, or Google Cloud) are commonly required, and certifications can add value. Excellent communication, self-motivation, and time-management skills are crucial for collaborating effectively in a distributed team environment. These skills ensure you can develop, deploy, and maintain AI solutions efficiently while working remotely with cross-functional teams.

What are the most commonly searched types of Ai jobs in Santa Rosa, CA? The most popular types of Ai jobs in Santa Rosa, CA are:
What are popular job titles related to Remote Ai jobs in Santa Rosa, CA? For Remote Ai jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Remote Ai jobs in Santa Rosa, CA look for? The top searched job categories for Remote Ai jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Remote Ai jobs? Cities near Santa Rosa, CA with the most Remote Ai job openings:
Remote Ai jobs near you
Infographic showing various Remote Ai job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $138,887 per year, or $66.8 per hour.

Staff Software Engineer, Full Stack

Doxel

Bodega Bay, CA • Remote

$200K - $250K/yr

Full-time

Re-posted 25 days ago

Job description

Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.

Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.

Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.

Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. 

Join us as we continue our journey to transform the $15T Construction Industry!


The Role
As a Lead Software Engineer, you will help define and build the next generation of Doxel’s project management, commissioning, and field-enablement tools—systems trusted by the world’s largest general contractors and owners delivering mega-projects at unprecedented scale.
 
You’ll design and deliver full-stack applications that handle massive volumes of complex field data—including videos, images, structured forms, and IoT device outputs—and transform them into fast, intuitive workflows for both office teams and field workers. You’ll architect mobile and web experiences that make capturing, reviewing, and acting on this data effortless in environments where reliability, speed, and clarity matter.
 
As a technical leader, you’ll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel’s AI and data systems into beautifully executed user experiences. You’ll provide technical leadership end to end shipping 0-1 projects, as well mentoring and coaching across engineering on best practices. 
Your Day to Day
  • You will lead the design and development of full-stack applications powering project management, commissioning workflows, and field data capture
  • Build web and mobile tools that make it simple for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
  • Develop intuitive, high-performance UIs that handle complex data streams and large-scale datasets
  • Architect backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale
What Success Looks Like
  • Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
  • Driving full stack and mobile engineering best practices including testing, reliability, and performance optimization
  • Mentoring engineers establishing standards, reviewing architecture, and ensuring high-velocity execution
  • Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
  • Being the champion for usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
What You Bring
  • 10+ years of experience building and shipping full-stack web and mobile applications
  • Strong expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, , or similar)
  • Strong backend engineering experience with Typescript, Python, or Java, including API development
  • Experience architecting applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
  • Deep experience building UX for field-facing or operationally critical workflows
  • Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
  • Skills in designing domain-driven data models and working with OLTP/OLAP systems
  • Prior experience leading or mentoring small engineering teams
Preferred Experience
  • Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
  • Background with offline-capable architectures and mobile-first data collection tools
  • Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences
  • Exposure to ML/AI-driven feature development
  • Comfort with CI/CD pipelines, observability tooling, and automated testing best practices
Benefits & Company Culture
  • Competitive Base Salary + Equity Package
  • Remote first culture (for most roles)
  • Comprehensive Health Insurance (Medical, Dental, Vision)
  • Home Office Stipend
  • Monthly allowance for cell phone and internet
  • Flexible PTO, generous company holiday policy, and unlimited sick days
Pay is based on a variety of factors such as location, skill level, qualifications, competencies, and overall experience.
Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.