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Generative Ai Data Analyst Jobs in California (NOW HIRING)

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Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

We're looking for an experienced Lead Generative AI Analyst to join our team. This leadership role ... Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data ...

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Moffitt Cancer Center

Summary The AI Data Scientist - Precision Oncology develops and applies advanced analytics, machine ... Experience with large language models (LLMs), foundation models, multimodal AI, or generative AI ...

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Generative Ai Data Analyst information

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

AspectGenerative Ai Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, AI, or related fields; certifications in AI toolsBachelor's or Master's in Data Science, Statistics, or Computer Science; advanced certifications
Work EnvironmentTech companies, AI startups, data-driven departmentsResearch labs, tech firms, finance, healthcare
Employer & Industry UsageFocus on generating AI-driven insights, content, or modelsDeveloping models, analyzing data, building predictive algorithms

While both roles involve data analysis and AI, Generative Ai Data Analysts specialize in working with generative AI tools to produce content or insights, whereas Data Scientists develop and refine predictive models and algorithms. The roles often overlap but differ in focus and application.

What does a generative AI data analyst do?

A generative AI data analyst analyzes data to develop and improve AI models that generate content, such as text, images, or audio. They work with large datasets, use machine learning tools, and ensure data quality to support AI training and deployment processes.

What is the salary of Generative Ai Data Analyst?

The average salary for a Generative AI Data Analyst ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in machine learning, data analysis, and proficiency in tools like Python or TensorFlow tend to earn higher salaries.

What are popular job titles related to Generative Ai Data Analyst jobs in California?

For Generative Ai Data Analyst jobs in California, the most frequently searched job titles are:

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The top searched job categories for Generative Ai Data Analyst jobs in California are:

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Cities in California with the most Generative Ai Data Analyst job openings:

Generative Ai Data Analyst jobs near you

Applied Scientist - Generative AI Data Platforms

Adobe

San Jose, CA • On-site

Other

Posted 16 days ago

Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 245 rated software companies

Job description

Changing the world through digital experiences is what Adobe is all about. Adobe Firefly is redefining creativity through generative AI, enabling millions of users to create and transform images, videos, and digital experiences. The Adobe Firefly ASML team is seeking Applied Scientists and Engineers passionate about building scalable generative AI data platforms, synthetic data pipelines, and evaluation systems for next-generation image and video models. This role focuses on developing metadata-driven taxonomies, data quality dashboards, and robust evaluation frameworks to improve dataset diversity, quality, and model performance.

Job Responsibilities
  • Design and develop scalable synthetic data generation platforms and optimize image/video data pipelines for large-scale generative AI training.
  • Build metadata-driven taxonomies, dashboards, and analytics tools to monitor dataset distribution, diversity, sample quality, and training readiness.
  • Develop robust evaluation pipelines to assess data and model quality across accuracy, diversity, robustness, efficiency, and safety metrics.
  • Collaborate with research scientists, engineers, and product teams to translate multimodal AI innovations into scalable production systems.
  • Implement production-ready solutions using Python, PyTorch, and modern ML infrastructure to support generative AI workflows and continuous data quality improvement.
What You'll Need to Succeed
  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • Experience building scalable ML infrastructure, synthetic data platforms, or multimodal image/video data pipelines.
  • Strong knowledge of diffusion models, transformers, foundation models, and multimodal generative AI workflows.
  • Proficiency in Python, PyTorch, data engineering, metadata management, dashboard development, and evaluation frameworks.
  • Experience developing data quality, taxonomy, and visualization solutions for large-scale AI datasets.
  • Excellent communication and collaboration skills with cross-functional research, engineering, and product teams.
  • Demonstrated ability to translate research into production systems; publications in AI/ML or Computer Vision are a plus.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.

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What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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