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Remote Generative Ai Jobs in California (NOW HIRING)

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... real-world Generative AI solutions across enterprise use cases. This role requires strong ...

... Generative AI applications. Solutions Architects at Together are trusted advisors to our customers ... of remote work. The US salary range for this full-time position is: $180-260K OTE + equity ...

... generative AI at scale-delivering safe, sustainable, cutting-edge solutions for hyperscaler and neocloud data centers. Headquartered in Sunnyvale, CA, and Munich, Germany, with remote team members ...

Research Scientist

Redwood City, CA · On-site +1

$200K - $350K/yr

Redwood City or San Francisco OR REMOTE Main Responsibilities * Design, implement, and validate ... Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on ...

AI Solutions Manager, West

San Francisco, CA · On-site +1

$140K - $175K/yr

As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and ... While we are a remote-first company, the nature of this role requires candidates to be based in the ...

Showing results 41-60

Remote Generative Ai information

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.
What are the most commonly searched types of Generative Ai jobs in California? The most popular types of Generative Ai jobs in California are:
What job categories do people searching Remote Generative Ai jobs in California look for? The top searched job categories for Remote Generative Ai jobs in California are:
What cities in California are hiring for Remote Generative Ai jobs? Cities in California with the most Remote Generative Ai job openings:
Infographic showing various Remote Generative Ai job openings in California as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 100% Remote job distribution.

AI/ML Applied Scientist - Remote

UnitedHealth Group

San Francisco, CA • On-site, Remote

$112K - $134K/yr

Full-time

Retirement

Posted 24 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
Optum AI team members:
  • Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone
  • Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development
  • Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Developing new solutions and science best practices in Responsible AI
  • Developing and implementing models and methods that extend and improve LLM capabilities and reliability
  • Research, design and implement scalable machine learning solutions
  • Developing our research and innovation agenda
  • Design, implement and deploy Deep Learning models, RAG and LLMs
  • Collaborating with the Optum AI team and fellow scientist and engineers

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Master degree in computer science, Machine Learning, statistics, engineering, mathematics, or another STEM discipline
  • 3+ years of DL frameworks such as PyTorch and/or TensorFlow
  • 2+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains
  • 2+ years of experience in Generative AI, grounding architectures, fine-tuning LLMs and/or improving pre-train LLM's performance
  • 2+ years of developing machine learning applications
  • 1+ year of solid agentic research and developing experience

Preferred Qualifications:
  • Ph.D. in Machine Learning with focus on NLP and/or GenAI
  • Experience with Advanced Deep Learning, applied math and statistics
  • Proven solid technical and scientific knowledge about generative AI

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,300 - $134,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
#optumaiscience
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
#OptumTechPJ

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