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Generative Ai Analyst Jobs in California (NOW HIRING)

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Lead Generative AI Analyst

San Francisco, CA · On-site

$180 - $230/hr

Lead technical and writing teams to deliver NEMO products. Act as the liaison between customers, DataFactory teams, product teams, and research teams. Track annotator metrics to ensure top-quality ...

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Generative Ai Analyst information

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$48.4K

$87.4K

$121.9K

How much do generative ai analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for generative ai analyst in California is $87,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,200.00 per year, depending on experience, location, and employer.

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

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

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

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with specialized skills in machine learning and natural language processing can earn higher salaries.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.
What are popular job titles related to Generative Ai Analyst jobs in California? For Generative Ai Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Generative Ai Analyst jobs in California look for? The top searched job categories for Generative Ai Analyst jobs in California are:
What cities in California are hiring for Generative Ai Analyst jobs? Cities in California with the most Generative Ai Analyst job openings:
Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $87,409 per year, or $42 per hour.

Lead Generative AI Analyst

Welocalize, Inc

San Francisco, CA • On-site

$110 - $160/hr

Other

Posted 19 days ago

Welocalize rating

6.5

Company rating: 6.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

329th of 485 rated business services

Job description

## Lead Generative AI AnalystApplylocations: CA Client Field Office (San Fran Bay Area): CA Client Location (SF)time type: Full timeposted on: Posted Todaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: R0007836If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate LoginWhen creating your Workday account and entering personal information like name, address, please do not use ALL CAPS.Thank you!NOTICE: For Privacy Policy please review here**Job Responsibilities:**The Lead Generative AI Analyst plays a pivotal role in leading technical and writing teams to deliver NEMO products. This position also involves customer-facing responsibilities, ensuring world-class quality through tracking metrics, labeling initiatives, and training stakeholders. Exposure to potentially sensitive content may be required.**Responsibilities:*** Lead technical and writing teams to deliver NEMO products.* Act as the liaison between customers, DataFactory teams, product teams, and research teams.* Track annotator metrics to ensure top-quality deliverables.* Write creative prompts and responses across diverse topics.* Manage labeling initiatives with third-party firms and internal customers.* Develop and update detailed guidelines and specifications for stakeholders.* Train teams on best practices for creating large language models and datasets.* Handle potentially toxic or offensive content as required (e.g., sexually explicit, graphic, or disturbing material).Additional Job Details:**Requirements:*** Proven track record of delivering quality products on time.* Native-level English proficiency with excellent written and verbal communication skills.* Self-driven, motivated, and enthusiastic about working on state-of-the-art machine learning tools.* Domain knowledge in specialized fields (e.g., Law, Gardening, Biology, US History, Academic Engineering).* 4-year accredited college degree or equivalent experience.**Ways to Stand Out:*** Over 1 year of experience delivering products in the LLM space.* College degree or experience in Linguistics, English Literature, Creative Writing, Journalism, STEM, or relevant domain knowledge.* Deep understanding of large language models and RLHF.* Experience in labeling and tagging frames/tasks/prompts for DNN preparation.* QA/testing experience.* Python scripting skills are a plus. #J-18808-Ljbffr

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