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Generative Ai Data Analyst Jobs in California (NOW HIRING)

Sia

Consultant- Marketing Data Science & AI

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Generative AI, Machine Learning & Statistics * Data Analysis for strategic support * Data Engineering & DevOps * Data Transformation & Acculturation A few examples of engagements: * Automatic ...

Sia

Associate Consultant, Generative AI

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sia's AI & Data Business Unit is the powerhouse of our firm's innovation-merging cutting-edge Data ... to enhance analytical capabilities, refine outputs, improve user experience, and control ...

Sia

Associate Consultant, Generative AI

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sia's AI & Data Business Unit is the powerhouse of our firm's innovation-merging cutting-edge Data ... to enhance analytical capabilities, refine outputs, improve user experience, and control ...

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All JobsGenerative Ai Data Analyst JobsGenerative Ai Data Analyst Jobs in California

Generative Ai Data Analyst information

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 is a generative ai data analyst?

A generative AI data analyst is a professional who analyzes data related to generative artificial intelligence models, such as those used for creating text, images, or other content. They interpret model outputs, evaluate performance, and work with tools like Python, machine learning frameworks, and data visualization software to improve AI systems and inform decision-making.

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 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:

What job categories do people searching Generative Ai Data Analyst jobs in California look for?

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

What cities in California are hiring for Generative Ai Data Analyst jobs?

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

Generative Ai Data Analyst jobs near you

Lead Generative AI Analyst - English (US)

Welo Global

Santa Clara, CA • On-site

$50/hr

Other

Posted 25 days ago

Job description

We're looking for an experienced Lead Generative AI Analyst to join our team in Santa Clara, CA. This is a hybrid leadership role for someone who enjoys coordinating people, solving operational challenges, and delivering high-quality results in a fast-paced AI environment.

Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure projects are delivered efficiently, consistently, and at the highest quality standards.

If you have a strong background in project management, operations, or leading production teams—and you're excited about working on cutting-edge Generative AI initiatives—this role is for you.

What You'll Do
  • Lead the day-to-day operations of a team of multimodal AI annotators and reviewers.
  • Provide people leadership, including coaching, performance management, workload planning, and team development.
  • Drive project execution by balancing quality, delivery timelines, and operational priorities.
  • Own client-facing meetings, providing project updates, discussing risks, action plans, and delivery progress.
  • Serve as the primary point of contact for workflow questions, issue resolution, and project escalations.
  • Monitor team performance, quality metrics, productivity, and project health, identifying opportunities for continuous improvement.
  • Develop and refine annotation guidelines, documentation, and quality standards as projects evolve.
  • Coordinate calibration sessions and quality reviews to ensure consistent decision-making across the team.
  • Partner with cross-functional stakeholders, including Quality, Operations, Product, and Engineering teams, to resolve complex cases and improve workflows.
  • Support onboarding, coaching, and ongoing development of new team members.
  • Identify operational risks early and proactively drive solutions to keep projects on track.
  • Prepare regular reports on project status, quality trends, and key operational metrics.
What We're Looking For
  • 5+ years of experience in AI data operations, data annotation, content quality, Trust & Safety, data labeling, or similar production environments.
  • 3+ years of experience leading teams and managing projects, with ownership of delivery, quality, and operational outcomes.
  • Demonstrated experience managing personnel, priorities, and multiple workstreams simultaneously.
  • Experience leading client meetings and communicating project status to internal and external stakeholders.
  • Strong stakeholder management and communication skills.
  • Excellent written and verbal English.
  • Exceptional organizational skills with the ability to prioritize in a fast-moving environment.
  • Experience creating documentation, operational processes, or quality guidelines.
  • Comfortable making decisions in ambiguous situations while maintaining consistency and accuracy.
Preferred Qualifications
  • Experience leading AI, machine learning, or multimodal annotation programs.
  • Experience managing QA operations, calibration sessions, audits, and quality improvement initiatives.
  • Familiarity with annotation tools and AI data workflows.
  • Experience working with Product, Engineering, Research, or Vendor Management teams.
  • Knowledge of reporting, dashboards, workflow optimization, or process improvement.
  • Basic Python, SQL, or data analysis skills are a plus.

$50 - $50 an hour

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