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Llm Trainer Jobs in Riverside, CA (NOW HIRING)

Accenture

AI & HPC Infrastructure Engineer

Irvine, CA

$115K - $151K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... training and inference workloads * Develop and maintain documentation including architecture ... Experience designing and implementing agentic AI infrastructure, including LLM inference, tool ...

New

ETAP

Power Systems AI/ML Engineer

Irvine, CA · On-site

$87K - $125K/yr

Develop and integrate large language model (LLM)-based assistants to enhance user experience and reduce engineering workload. * Work with data teams to curate training datasets, perform model ...

ETAP

Power Systems AI/ML Engineer

Irvine, CA · On-site

$87K - $125K/yr

Develop and integrate large language model (LLM)-based assistants to enhance user experience and reduce engineering workload. * Work with data teams to curate training datasets, perform model ...

Aveva

Power Systems AI/ML Engineer

Irvine, CA

$87K - $125K/yr

Develop and integrate large language model (LLM)-based assistants to enhance user experience and reduce engineering workload. * Work with data teams to curate training datasets, perform model ...

Hyundai Capital

Sr. GenAI Architect

Irvine, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

HOW YOU WILL MAKE AN IMPACT 1. Define reference architecture (LLM selection, RAG, agent framework ... Architect scalable pipelines, including model training, deployment, monitoring, and CI/CD workflows ...

Bespoke Labs

Machine Learning Engineer

Pomona, CA · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Hyundai Capital America

Sr. GenAI Architect

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

HOW YOU WILL MAKE AN IMPACT 1. Define reference architecture (LLM selection, RAG, agent framework ... Architect scalable pipelines, including model training, deployment, monitoring, and CI/CD workflows ...

Hyundai Capital

Sr. GenAI Architect

Irvine, CA · On-site

$132K - $204K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

HOW YOU WILL MAKE AN IMPACT 1. Define reference architecture (LLM selection, RAG, agent framework ... Architect scalable pipelines, including model training, deployment, monitoring, and CI/CD workflows ...

Regal Executive Search

Tax Manager - Wealth Management

Irvine, CA · On-site

$118K - $155K/yr

  • Medical

  • Retirement

This position will be responsible for the supervision, training, and mentoring of Tax Services ... LLM in Taxations, or JD - Five to seven years of progressive tax compliance and/or tax consulting ...

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All JobsLlm Trainer JobsLlm Trainer Jobs in Riverside, CA

Llm Trainer information

See Riverside, CA salary details

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$38

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How much do llm trainer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for llm trainer in Riverside, CA is $38.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $55.19 per hour, depending on experience, location, and employer.

What is an LLM trainer?

An LLM Trainer is responsible for training and fine-tuning large language models (LLMs) to improve their accuracy, efficiency, and relevance for specific applications. This role involves curating and preprocessing training data, designing training methodologies, and evaluating model performance. LLM Trainers work closely with data scientists, engineers, and researchers to optimize models for tasks such as natural language understanding, text generation, and conversational AI. They also ensure ethical AI practices by mitigating biases and refining model outputs.

What does an LLM trainer do?

LLM Trainers are responsible for designing and refining training datasets, developing prompts, evaluating model outputs, and working closely with engineers and data scientists to optimize large language models. Common challenges include maintaining data quality, mitigating model biases, and staying up-to-date with rapidly evolving AI research and best practices. You’ll often collaborate with cross-functional teams, communicate findings clearly, and adapt to new tools or methodologies. This dynamic environment offers opportunities for innovation and skill development, making it an excellent fit for those passionate about advancing AI technology.

What skills and qualifications are needed to be an LLM trainer?

To thrive as an LLM Trainer, you need a deep understanding of natural language processing (NLP), machine learning principles, and data annotation techniques, often supported by a background in computer science or related fields. Familiarity with tools like Python, PyTorch or TensorFlow, data labeling platforms, and version control systems is essential, along with knowledge of prompt engineering and model fine-tuning. Strong analytical thinking, attention to detail, and collaborative communication skills are crucial soft skills for working with cross-functional AI teams. These competencies are important for developing high-quality language models that meet user needs and industry standards.

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Llm Trainer jobs near you
Infographic showing various Llm Trainer job openings in Riverside, CA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $80,094 per year, or $38.5 per hour.

Principal AI Engineer ($214,100 - $267,400)

Irvine Company

Irvine, CA • On-site

$214.10 - $267.40/hr

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Location: Irvine, CA 92617

Division: Innovation Technology (IT)

Position Summary:

Lead the design and implementation of advanced AI solutions, primarily utilizing LLMs for natural-language interaction with enterprise data. This Principal Engineer role involves designing and building production AI applications (including conversational agents and RAG systems) to turn business questions into actionable insights. Expertise in modern LLM framework, embeddings, chunkings, and enterprise integration patterns is required to deliver intelligent, scalable solutions. This client-facing position necessitates communicating complex AI system behaviors to both technical and business leadership.

  • Lead the end-to-end development of advanced AI solutions, including agentic systems, RAG pipelines, and multi-agent workflows
  • Design and implement embedding and chunking strategies essential for effective Retrieval-Augmented Generation (RAG) across enterprise data
  • Create integrations to connect AI agents with enterprise data systems, APIs, and services
  • Develop robust, production-grade asynchronous Python applications with proper error handling and session management
  • Implement vector database and graph database solutions for semantic search and knowledge representation
  • Establish agentic architecture, including data flows, interfaces, and mechanisms across all enterprise systems
  • Deploy and manage AI agents on cloud platforms using CI/CD pipelines, infrastructure as code, and managed AI services
  • Implement monitoring, logging, and observability for agent interactions to guarantee system reliability and support debugging
  • Develop context engineering strategies that assemble dynamic context for consistent and accurate Large Language Model (LLM) behavior
  • Engage with clients to translate business requirements into AI solution architectures, and balance feature development with technical debt management
Additional Skills:
  • Experience with AI/ML agent orchestration frameworks such as Google ADK, LangChain, or similar tools
  • Experience with multi-agent architectures and workflow orchestration patterns
  • Experience with LLM evaluation methodologies, including metrics design, hallucination detection, and A/B testing for prompt optimization
  • Understanding of context engineering principles, including dynamic context assembly, tool result formatting, and conversation state management
  • Experience with Snowflake or BigQuery, including query optimization and connection management
  • Experience managing data systems, including persistence selection, schema design, and read/write tradeoffs
  • Familiarity with MLOps patterns and model deployment pipelines
Preferred Education:
  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related computational field
Preferred Years of Relevant Work Experience:
  • 7 - 10 years in software development, including experience working in and leading technical teams
Additional Requirements:
  • 3+ years of hands‑on experience with LLMs, AI agents, or applied AI systems
  • Expertise in Python development, async programming patterns, and modern web frameworks
  • Proven experience developing RAG applications, including embedding strategies, chunking approaches, and retrieval optimization
  • Hands‑on experience with vector databases and graph databases for semantic search and knowledge representation
  • Experience with multiple LLM providers (Gemini, Claude, LLaMA) and understanding of cost vs. capability tradeoffs
  • Experience with enterprise application integration, including defining integration architecture, data flows, and interface design
  • Strong understanding of SOA, microservices, or similar architectural patterns
  • Experience with CI/CD pipelines and infrastructure as code for deploying AI applications
  • Demonstrated ability to communicate with client leadership and translate business requirements into technical solutions
  • Experience with fine‑tuning or adapting foundation models for domain‑specific applications
  • Experience balancing feature development with technical debt management to deliver business value while maintaining quality
Compensation:

Base Pay Range: $214,100.00 - $267,400.00

Actual placement within this range may vary based upon relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location.

The Company also offers competitive benefits for full time employees including paid time off, matching 401(k), and health benefits.

Irvine Company is committed to providing equal opportunity in all of our employment practices, including selection, hiring, promotion, transfer, compensation, termination, and training, without regard to race, religion, color, sex, sexual orientation, gender, gender identity, national origin, ancestry, citizenship status, marital status, pregnancy, age, medical condition, genetic information, military and veteran status, disability, or any other basis protected by federal, state, and local law. Reasonable accommodation is available for qualified individuals with disabilities, upon request.

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