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Senior Llm Trainer Jobs (NOW HIRING)

Koch Industries

Senior LLM Engineer

Austin, TX · On-site

$195K - $255K/yr

Your Job The Senior LLM Engineer will fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry ... Distributed training experience across multi-GPU/multi-node clusters (DeepSpeed, FSDP)

Prointegrate LLC

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LLM -Senior Accounting & Finance Advisors - Remote USA

Dallas, TX · Remote

$25 - $30/hr

Contribute senior-level expertise to AI/LLM training and evaluation tasks. Required Qualifications: * 5+ years of professional experience in accounting, bookkeeping, finance, financial consulting, or ...

Conductor

Senior Performance Engineer

San Jose, CA · On-site

$138 - $206/hr

We are seeking a Senior LLM Systems Performance Engineer to build representative AI environments ... Strong understanding of LLM inference and training systems. * Strong understanding of NVIDIA GPU ...

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Senior Llm Trainer information

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$24.5K

$77.3K

$136.5K

How much do senior llm trainer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior llm trainer in the United States is $77,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Llm Trainer vs Machine Learning Engineer?

AspectSenior Llm TrainerMachine Learning Engineer
Required CredentialsAdvanced degrees in NLP, AI, or related fields; experience with language modelsDegree in CS, AI, or related; strong programming skills
Work EnvironmentResearch labs, AI companies, language model development teamsTech companies, startups, R&D departments
Employer & Industry UsagePrimarily in AI research and language model trainingAcross various industries including tech, finance, healthcare
Common Search & Comparison IntentUnderstanding roles in language model developmentTechnical implementation of AI models

The main difference is that a Senior Llm Trainer specializes in training and fine-tuning large language models, focusing on NLP tasks, while a Machine Learning Engineer develops and deploys machine learning algorithms across various applications. Both roles require strong technical skills, but their focus areas and industry applications differ.

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Senior Llm Trainer jobs near you
Infographic showing various Senior Llm Trainer job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $77,350 per year, or $37.2 per hour.

Senior LLM Engineer

Koch Industries

Austin, TX • On-site

$195K - $255K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Koch Industries rating

8.0

Company rating: 8.0 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

136th of 545 rated manufacturers

Job description

Your Job
The Senior LLM Engineer will fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry to power generative AI capabilities within our engineering design platform, translating natural-language design intent into structured, engineering-valid outputs.
Our Team
Established in 1938, Molex delivers comprehensive electronic solutions for various markets, including data communications, telecommunications, consumer electronics, industrial, automotive, commercial vehicle, aerospace and defense, medical, and lighting. You'll join the platform team behind our Azure AI/ML engineering tools, working alongside ML engineers, data scientists, and MLOps teams to keep training and inference workloads reliable, secure, and cost-efficient.
What You Will Do
  • Fine-tune foundation models (LoRA/QLoRA, RLHF/DPO, instruction tuning) for domain-specific tasks and terminology.
  • Build agentic and tool-use workflows that connect the LLM to internal engineering tools and data sources.
  • Design evaluation harnesses for factuality and accuracy; own hallucination and safety guardrails.
  • Build RAG pipelines (Azure AI Search) and structured tool-use/function-calling systems on top of fine-tuned Azure OpenAI models.
  • Deploy and optimize inference (quantization, KV-cache, vLLM/TensorRT-LLM) on Azure Kubernetes Service for cost-efficient serving.

Who You Are (Basic Qualifications)
  • 8+ years overall ML/AI engineering experience, with deep hands-on LLM/foundation model work - not just calling APIs.
  • Demonstrated experience fine-tuning models (LoRA/QLoRA/PEFT, full fine-tuning, or pretraining at some scale).
  • Practical experience with alignment techniques (RLHF, RLAIF, DPO, or instruction tuning).
  • Strong Python and deep PyTorch proficiency; solid grasp of transformer architecture internals.
  • Hands-on experience building RAG pipelines, embeddings/vector search, and agentic or tool-use LLM systems.
  • Familiarity with Azure OpenAI / Azure AI Foundry or an equivalent cloud LLM platform.

What Will Put You Ahead
  • Direct experience with Azure OpenAI Service and Azure AI Foundry for enterprise-scale deployment.
  • Experience orchestrating LLM-driven code or structured-output generation for technical/engineering domains.
  • Distributed training experience across multi-GPU/multi-node clusters (DeepSpeed, FSDP).
  • Publications, blog posts, or open-source contributions in generative AI.

For this role, we anticipate paying $195,000- $255,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Who We Are
As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications. The thousands of innovators who work for Molex have made us a global electronics leader. Our experienced people, groundbreaking products and leading-edge technologies help us deliver a wider array of solutions to more markets than ever before.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aquí , or tu ).

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