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Llm Trainer Jobs in Raleigh, NC (NOW HIRING)

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and ...

Python Developer with AI

Cary, NC · On-site

$47.75 - $66/hr

Build and integrate AI/ML, Deep Learning, NLP, Neural Networks, and LLM capabilities into ... Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud ...

Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG ... Define enterprise patterns for training, fine-tuning, deployment, and observability of ML and GenAI ...

Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG ... Define enterprise patterns for training, fine-tuning, deployment, and observability of ML and GenAI ...

Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG ... Define enterprise patterns for training, fine-tuning, deployment, and observability of ML and GenAI ...

... engagements, training, and company events. Candidates should be able and willing to travel as ... Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ...

Dir Software Engineering

Raleigh, NC · On-site

$136K - $252K/yr

Practical understanding of LLM-based application development, including retrieval, evaluation ... Ensure staff receive clear goals, frequent feedback, coaching, training, and resources needed to ...

Dir Software Engineering

Raleigh, NC · On-site

$136K - $252K/yr

Practical understanding of LLM-based application development, including retrieval, evaluation ... Ensure staff receive clear goals, frequent feedback, coaching, training, and resources needed to ...

Dir Software Engineering

Raleigh, NC · On-site

$136K - $252K/yr

Practical understanding of LLM-based application development, including retrieval, evaluation ... Ensure staff receive clear goals, frequent feedback, coaching, training, and resources needed to ...

Dir Software Engineering

Raleigh, NC · On-site

$136K - $252K/yr

Practical understanding of LLM-based application development, including retrieval, evaluation ... Ensure staff receive clear goals, frequent feedback, coaching, training, and resources needed to ...

Dir Software Engineering

Raleigh, NC · On-site

$136K - $252K/yr

Practical understanding of LLM-based application development, including retrieval, evaluation ... Ensure staff receive clear goals, frequent feedback, coaching, training, and resources needed to ...

Cloud Platform Engineer

Durham, NC · On-site

$53.75 - $72/hr

... supporting model training, inference, and integration into production systems. • Automate ... LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks ...

AI Operations Engineer

Durham, NC · On-site

$67K - $90K/yr

... training and evaluation datasets, improve prompts and agent behaviors, and help operationalize LLM-powered systems across the platform. ** Work Location: Durham, NC/Hybrid-2 days in office** The ...

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Llm Trainer information

See Raleigh, NC salary details

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How much do llm trainer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for llm trainer in Raleigh, NC is $35.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $51.39 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.

What are the most commonly searched types of Llm Trainer jobs in Raleigh, NC?

The most popular types of Llm Trainer jobs in Raleigh, NC are:

What are popular job titles related to Llm Trainer jobs in Raleigh, NC?

For Llm Trainer jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Llm Trainer jobs?

Cities near Raleigh, NC with the most Llm Trainer job openings:

Infographic showing various Llm Trainer job openings in Raleigh, NC as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $74,628 per year, or $35.9 per hour.

Senior Solutions Architect, AI Factory Deployment - NVIS

Nvidia

Durham, NC

Full-time

Re-posted 2 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We are in search of a curious and motivated Senior Solutions Architect to join our NVIDIA Infrastructure Specialists team. In this capacity, you'll support the creation, implementation, and verification of AI factories, focusing on running and debugging AI/LLM workloads and benchmarks on Linux-based GPU clusters. You'll engage with NCCL and collectives like AllReduce and AllToAll to boost performance and scalability, receiving mentorship from senior architects on the team.


You will apply observability and automation to improve our benchmarking and validation efforts. You will be a key contact for troubleshooting workloads and benchmarks that fail, hang, or perform poorly. Additionally, you will collaborate with various NVIDIA teams to prepare AI factories for customers, validating both hardware and software for current AI applications.


What You Will Be Doing:

  • Set up, adjust, and verify AI factory environments across multi-GPU and multi-node Linux clusters.
  • Validate configurations against guidelines for NCCL, collectives, and distributed training frameworks.
  • Run key AI/LLM benchmarks - setup, orchestration, result collection, and analysis.
  • Investigate and address problems when training jobs or benchmarks fail, hang, or perform below expectations.
  • Build and improve observability for AI factories (metrics, logs, traces, dashboards) to understand workload behavior and system health.
  • Build automation using Python and Shell for conducting benchmarks, retrieving results, and completing regression checks.
  • Analyze communication patterns and NCCL usage for AI/LLM workloads, concentrating on collectives such as AllReduce and AllToAll.
  • Help identify and recommend improvements to job configuration, parallelism strategies, and cluster settings to improve throughput, latency, and scaling efficiency.
  • Work closely with hardware, software, networking, and product teams to prepare AI factories for customer use.
  • Contribute to documentation and readiness materials for internal and customer-facing teams.

What We Need to See:

  • Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, Physics, or a related field.
  • 5+ years of experience managing Linux-based systems in HPC, distributed systems, or AI/ML environments.
  • Hands-on experience running AI/ML workloads on multi-GPU and/or multi-node clusters, including some exposure to NCCL.
  • Practical knowledge of collective communication patterns like AllReduce and AllToAll, and their application in ML/LLM training.
  • Skilled in Python and Shell/Bash for scripting, automation, and tooling.
  • Strong communication skills and the ability to work effectively with cross-functional teams.

Ways to Stand Out From the Crowd:

  • Experience benchmarking distributed systems - crafting, running, and interpreting performance benchmarks.
  • Background in HPC performance engineering, SRE, or systems performance analysis for GPU-accelerated environments.
  • Familiarity with observability stacks (metrics/monitoring, logging, tracing) used for large distributed systems.
  • Experience building automation and CI-style pipelines for running and validating benchmarks at scale.
  • Demonstrated interest in using AI to solve practical problems, improve workflows, and guide data-driven decisions.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US