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Senior Ai Data Trainer Jobs in Riverside, CA (NOW HIRING)

Matrixpoint Consulting

Senior AI Consultant

Irvine, CA · On-site

$140 - $180/hr

We are seeking a Senior AI Consultant to lead the design, development, and deployment of AI-driven ... Architect scalable data pipelines and model deployment frameworks * Evaluate and select appropriate ...

Lendistry

Sr AI/Agentic Engineer

Tustin, CA · On-site

$115K - $158K/yr

... data from financial documents. • Design validation, confidence scoring, and fallback mechanisms ... AI team lead and Senior Staff Engineer to translate AI strategy into shipped features. • ...

CYNET SYSTEMS

Senior AI Engineer

Irvine, CA · On-site

$56 - $61/hr

Solid understanding of data pipelines, distributed systems, and API design. Responsibilities ... Develop backend services exposing AI capabilities through secure and scalable APIs. * Define best ...

Hyundai Capital

Sr. AI Agent / Prompt Engineer

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job Title : Sr. AI Agent / Prompt Engineer Hyundai Capital America (HCA) helps people move forward ... Partner with data and platform engineers to ensure reliable RAG and agent execution paths. 3. ...

Hyundai Capital

Sr. AI Agent / Prompt Engineer

Irvine, CA · On-site

$132K - $204K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Description Job Title : Sr. AI Agent / Prompt Engineer Hyundai Capital America (HCA) helps people ... data and platform engineers to ensure reliable RAG and agent execution paths. 3. Evaluation ...

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All JobsAi Data Trainer JobsSenior Ai Data Trainer JobsSenior Ai Data Trainer Jobs in Riverside, CA

Senior Ai Data Trainer information

See Riverside, CA salary details

$25.6K

$80.7K

$142.4K

How much do senior ai data trainer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior ai data trainer in Riverside, CA is $80,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $104,300.00 per year, depending on experience, location, and employer.

What is a senior AI data trainer?

Senior AI Data Trainers are professionals who oversee the creation, curation, and labeling of data used to train artificial intelligence models. They ensure that data is accurately annotated and aligned with the requirements of the machine learning project, often supervising and mentoring junior data trainers. Their responsibilities also include developing guidelines, maintaining data quality standards, and collaborating with data scientists and engineers to improve AI model performance. Senior AI Data Trainers play a critical role in the success of AI initiatives by ensuring high-quality, well-labeled datasets.

What are the key skills and qualifications needed to thrive as a senior AI data trainer?

To thrive as a Senior AI Data Trainer, you need a strong background in data annotation, machine learning concepts, and quality assurance, typically supported by a relevant degree and prior experience in AI training projects. Familiarity with annotation tools, data labeling platforms, and version control systems is commonly required, along with knowledge of Python or similar scripting languages. Excellent attention to detail, communication, and problem-solving skills help ensure accurate data labeling and effective collaboration with cross-functional teams. These skills are crucial for building high-quality datasets that directly impact the performance and reliability of AI models.

What are some common challenges faced by senior AI data trainers when ensuring data quality for machine learning models?

Senior AI Data Trainers often encounter challenges such as managing large and diverse datasets, maintaining labeling consistency, and identifying subtle biases that could affect model performance. They must also coordinate with data engineers and machine learning teams to validate data accuracy and relevance. Addressing these challenges requires strong attention to detail, effective communication skills, and the ability to implement quality assurance processes throughout the data annotation lifecycle.

What is the difference between Senior Ai Data Trainer vs Data Analyst?

AspectSenior Ai Data TrainerData Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; experience with AI modelsBachelor's or higher in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, healthcare, or tech sectors; data-driven departments
Employer & Industry UsageAI-focused companies, tech startups, research institutionsVarious industries including finance, marketing, healthcare

While both roles involve working with data, a Senior Ai Data Trainer specializes in preparing and refining datasets for AI models, often requiring knowledge of machine learning and AI frameworks. In contrast, a Data Analyst focuses on interpreting data to generate insights for business decisions. The roles overlap in data handling but differ in technical focus and application.

What are the most commonly searched types of Ai Data Trainer jobs in Riverside, CA?

The most popular types of Ai Data Trainer jobs in Riverside, CA are:

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For Senior Ai Data Trainer jobs in Riverside, CA, the most frequently searched job titles are:

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Cities near Riverside, CA with the most Senior Ai Data Trainer job openings:

Senior Ai Data Trainer jobs near you

Hybrid - Senior AI Engineer -Irvine, CA- Fulltime

Ztek Consulting INC

Irvine, CA • On-site

$120K - $130K/yr

Full-time

Re-posted 12 days ago

Job description

Hello ,

This is Pankaj Pagare from Ztek Consulting INC (www.ztekinc.com) .

We do have a position for Senior AI Engineer

Please find the details below and if interested please send me your updated word format resume.

Job Title: Senior AI Engineer

Location: Irvine, CA(Hybrid)

Position Type: Fulltime

Experience Required:8+

 

Job Description

Must have Technical skills:

  • 5+ years of experience in software engineering, data engineering, or AI/ML engineering
  • Strong proficiency in Python for AI/data workflows and automation
  • Hands-on experience building solutions in AWS cloud environments
  • Experience with:
    • Databricks (or similar) and Apache Spark for distributed data processing
    • OpenSearch / Elasticsearch (including vector search)
    • Graph databases (Neptune or similar)
    • DynamoDB and Redis/ElastiCache
  • Experience building backend services and APIs (e.g., Java/Spring Boot, Node.js)
  • Production experience with Docker and Kubernetes
  • Experience with CI/CD pipelines and deployment automation
  • Strong understanding of distributed systems, data architecture, and scalable design

Preferred Qualifications

  • Experience with LLM/GenAI architectures (RAG, embeddings, prompt engineering)
  • Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks
  • Experience with LangChain or LlamaIndex
  • Experience implementing LLM evaluation and observability frameworks
  • Familiarity with AI security practices and threat models (prompt injection, guardrails)
  • Experience working in regulated environments with strong data governance and compliance requirements

Tech Stack

  • AWS: Neptune, OpenSearch, DynamoDB, ElastiCache (Redis), IAM, CloudWatch
  • Data: Databricks, Apache Spark
  • AI: LLM integrations, embeddings, vector search, RAG pipelines
  • Agentic/LLM Tooling: LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI
  • Backend: APIs, microservices (e.g., Spring Boot, Node.js)
  • DevOps: Docker, Kubernetes, CI/CD, Infrastructure as Code

Thanks and Regards,
Pankaj Pagare
Ztek Consulting Inc.,        

Phone: 1 678-918-5069

E-mail: Pankaj@ztekinc.com

Visit us at www.ztek-inc.com