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Llm Trainer Jobs in Raleigh, NC (NOW HIRING)

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 ...

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

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 ...

Hands-on design and development of GenAI, LLM-based, and agentic AI solutions. * Architect and ... Lead internal workshops and training sessions to accelerate AI adoption. * Represent the ...

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

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 ...

AI Operations Engineer

Durham, NC · Hybrid

$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 ...

... 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 ...

... 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 ...

... training, and acting as a subject matter expert to guide colleagues. Required Qualifications 8+ years of total experience 5+ most recent in Data Scientist experience (working with different LLM tools ...

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

Codesign HW with SW/GenAI (LLM) requirements * Define performance models to prove effectiveness of architecture proposals * Pre-Silicon prediction of performance for various ML training workloads

... mentoring, training, and acting as a subject matter expert to guide colleagues. Required ... at scale Strong LLM, GenerativeAI, RAG deployment experience (implementations, as well as ...

... LLM frameworks and cloud-native technologies. This is a hybrid role (2-3 days in the office ... training, discipline, terminations, layoffs, transfers, leaves of absence, compensation and all ...

... LLM frameworks and cloud-native technologies. This is a hybrid role (2-3 days in the office ... training, discipline, terminations, layoffs, transfers, leaves of absence, compensation and all ...

Showing results 21-40

Llm Trainer information

See Raleigh, NC salary details

$15

$35

$89

How much do llm trainer jobs pay per hour?

As of Aug 12, 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 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 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 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 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $74,628 per year, or $35.9 per hour.

Cloud Platform Engineer

RIT Solutions, Inc.

Durham, NC • On-site

$53.75 - $72/hr

Full-time

Re-posted yesterday


Job description

Job Summary:
RIT Solutions, Inc. is a company that specializes in cloud solutions, and they are seeking a Cloud Platform Engineer to enhance their AI/ML capabilities. The role involves monitoring system performance, developing and deploying AI solutions on AWS, and maintaining scalable data processing workflows.
Responsibilities:
• Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively.
• Develop, deploy, and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems.
• Automate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools such as CloudFormation or Terraform.
• Design, build, and maintain scalable, fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync.
• Design and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
• Implement ETL/ELT pipelines and data architectures that support machine learning, analytics, and intelligent agent-based applications.
• Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or Kubernetes.
• Apply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls.
• Maintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks.
Qualifications:
Required:
• Monitor database and system performance using CloudWatch metrics, alarms, and logs; troubleshoot proactively.
• Develop, deploy, and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock, supporting model training, inference, and integration into production systems.
• Automate operational tasks using AWS Lambda, Systems Manager (SSM), and Infrastructure-as-Code tools such as CloudFormation or Terraform.
• Design, build, and maintain scalable, fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, DataSync.
• Design and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
• Implement ETL/ELT pipelines and data architectures that support machine learning, analytics, and intelligent agent-based applications.
• Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or Kubernetes.
• Apply security best practices across AI and data platforms, including IAM least-privilege access, encryption, audit logging, and compliance controls.
• Maintain technical documentation for AI architectures, data pipelines, infrastructure configurations, and operational runbooks.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.