1

Freelance Generative Ai Engineer Jobs in California

Generative AI Engineer - Fremont, CA Location: Fremont, CA | Job Type: Full-Time Required Qualifications * 10+ years of professional full-stack software engineering experience. * Proven experience ...

They are seeking a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. Responsibilities : • ...

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive ...

next page

Showing results 1-20

Freelance Generative Ai Engineer information

What is a freelance generative AI engineer?

A Freelance Generative AI Engineer is a professional who works independently to design, build, and deploy artificial intelligence models that can generate new data, such as text, images, or music. These engineers typically specialize in technologies like generative adversarial networks (GANs), large language models (LLMs), and other machine learning frameworks. They collaborate with clients or companies on a project-by-project basis, offering expertise in AI model development, fine-tuning, and integration. Being freelance, they have the flexibility to work with multiple clients across various industries, including tech, media, and entertainment.

What are the key skills and qualifications needed to thrive as a freelance generative AI engineer?

To thrive as a Freelance Generative AI Engineer, you need a deep understanding of machine learning, neural networks, and programming languages such as Python, often supported by a degree in computer science or related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and experience with AI model deployment are typically required. Strong problem-solving abilities, adaptability, and effective communication help you collaborate with clients and address evolving project needs. These skills are crucial for developing innovative AI solutions, meeting client expectations, and staying competitive in a rapidly changing field.

What are the most common challenges faced by freelance generative AI engineers when working with clients on custom AI solutions?

Freelance Generative AI Engineers often encounter challenges such as managing client expectations regarding project timelines and the complexity of AI models, especially when clients have limited technical knowledge. Ensuring clear communication about data requirements, model capabilities, and ethical considerations is crucial for successful project delivery. Additionally, freelancers must stay up to date with rapidly evolving AI frameworks and tools while balancing multiple projects and deadlines. Building robust documentation and maintaining transparency throughout the development process can help mitigate misunderstandings and foster long-term client relationships.

What are the most commonly searched types of Generative Ai Engineer jobs in California?

The most popular types of Generative Ai Engineer jobs in California are:

What are popular job titles related to Freelance Generative Ai Engineer jobs in California?

For Freelance Generative Ai Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Freelance Generative Ai Engineer jobs in California look for?

The top searched job categories for Freelance Generative Ai Engineer jobs in California are:

What cities in California are hiring for Freelance Generative Ai Engineer jobs?

Cities in California with the most Freelance Generative Ai Engineer job openings:

Infographic showing various Freelance Generative Ai Engineer job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Artificial Intelligence (Generative AI) Engineer

Beehive AI, Inc.

San Francisco, CA • On-site

$150 - $230/hr

Other

Posted 3 days ago

New


Job description

Artificial Intelligence (Generative AI) Engineer

San Francisco Bay Area (on-site) or USA (remote)

Job Type

Full Time

About the Company

Beehive AI provides a generative AI platform designed specifically for an organization’s unique qualitative data. With self-learning language models, validated by human experts, and built-in statistical analysis, research and insights leaders can quickly, accurately, and safely analyze their qualitative data, and combine it with quantitative data, to generate more robust customer insights.
Beehive AI ingests data from any insights program running in the organization, breaking down silos between data sets and creating a more consistent approach to analysis. Unlike traditional ML/NLP tools that require manual setup and maintenance or new generative AI innovation that rely on generic LLMs and can put your corporate data at risk , Beehive AI uses generative AI and LLMs that are designed specifically for your organization, so you can safely and easily analyze qualitative data at scale, combine it with your quantitative data, and generate robust insights that more accurately reflect your business and your customer at any given point in time.

About the Position

As an Artificial Intelligence (Generative AI) Engineer, you will work on designing, developing, experimenting and maintaining various components of the Beehive AI algorithms and LLMs. You will need to work, often independently, on the full cycle of development starting from researching and experimenting with generative AI solutions all the way to implementing and productionalizing it.

Requirements

Advanced Degree : PhD in Computer Science, AI, Linguistics, Applied Physics or related fields, with a focus on AI and natural language processing.

Experience with LLMs and PyTorch : Extensive experience with large language models and proficiency in PyTorch.

Analytical and Problem-Solving Skills : Ability to address complex challenges in model training and optimization.

Communication and Collaboration Skills : Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.

Innovation and Continuous Learning : Passion for staying updated with the latest trends in AI and machine learning.

#J-18808-Ljbffr