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Remote Generative Ai Jobs in California (NOW HIRING)

Cinematic AI Specialist

Burbank, CA · On-site +1

$55 - $75/hr

Instructors guide students through the practical and creative applications of generative AI tools ... Remote instruction and project-based learning * Collaborative creative environment New York Film ...

Develop Generative AI solutions, including chatbots, summarization, and content creation tools. Preprocess, clean, and annotate datasets for training and evaluation. Optimize models for performance ...

AI Engineer

San Mateo, CA · Remote

  • Medical

  • Dental

  • Vision

Flexible remote work environment * Professional development and career growth opportunities * Opportunity to work with cutting-edge generative AI technologies on enterprise-scale deployments

Field CTO - Bay Area or Remote

San Jose, CA · On-site +1

$200K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Field CTO - Generative AI About Our Client Our Client is a leader in the development of cutting-edge Artificial Intelligence (AI) solutions, empowering businesses with innovative Generative AI ...

Forward Deployed AI Engineer, West

San Francisco, CA · On-site +1

$155K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Digital Experience Technologist

San Jose, CA · Remote

$85.83 - $114.44/hr

Open to remote candidates. PST Time zone preferred. * Duration: 10/06/2025 to 1/23/2026 * Team ... Investigate and employ new generative AI tools to construct content, workflows, and demos that ...

... Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Lead cross-functional collaborations to integrate Generative AI models into our offerings ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

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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 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Cinematic AI Specialist

NYFA

Burbank, CA • On-site, Remote

$55 - $75/hr

Part-time

Re-posted 17 days ago


Job description

Position Overview

Seeking an experienced and innovative instructor to teach within a four-week online intensive focused on cinematic AI, generative design, and emerging creative technologies. The program is designed for students and professionals working across filmmaking, content creation, advertising, media arts, marketing, publishing, and related creative industries. Instructors guide students through the practical and creative applications of generative AI tools, machine learning, and hybrid production workflows while helping them understand how these technologies are reshaping modern media production.

Key Responsibilities
  • Teach engaging online classes, workshops, and critiques.
  • Introduce students to AI-powered creative workflows and production tools.
  • Provide mentorship, feedback, and project guidance.
  • Demonstrate industry applications of generative AI in media and storytelling.
  • Support student understanding of professional, ethical, and legal considerations surrounding AI-generated content.
  • Collaborate with program leadership to maintain curriculum quality and relevance.
Required
  • Professional experience in filmmaking, media arts, design, creative technology, or related industries.
  • Experience using generative AI tools and workflows.
  • Strong communication and instructional skills.
  • Ability to teach both creative concepts and technical processes in an accessible way.
Preferred
  • Teaching or mentorship experience.
  • Familiarity with diffusion models, generative video, multimodal AI tools, or machine learning workflows.
  • Background in entertainment, digital media, or content production.
  • AI Platforms and Model Familiarity: Comfy.ui (A bonus), Gemini Flash (Nano Bannana), Seedance, VEO, LUMA (Video to Video especially), Flux, Grok (Video), Chatgpt (Images II, and LLM), LoRA training
  • Knowledge of Adobe Photoshop, Premiere, Nuke (or After Effects/Fusion) and basic camera knowledge
Student Learning Outcomes

Students completing the program will gain hands-on experience with cinematic AI workflows and develop practical skills in AI-assisted storytelling, visual development, production integration, and creative direction. They will also gain a foundational understanding of professional standards and emerging practices within AI-driven media production.

Instructional Format
  • Four-week online intensive
  • Remote instruction and project-based learning
  • Collaborative creative environment

New York Film Academy (“NYFA”) is an equal opportunity employer. Prospective employees will receive consideration without discrimination because of race, creed, color, sex, gender, gender expression, gender identity, sexual orientation, age, religion, national origin, ancestry, mental disability, physical disability, medical condition, genetic information, marital status, military and veteran status, or any other basis protected by law.