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Llm Trainer Jobs in Raleigh, NC (NOW HIRING)

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 ...

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

... 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 ...

... LLM capabilities). * System Design: Architect, design, and document a robust, scalable, and cost-efficient platform covering the entire ML lifecycle: Data Ingestion, Feature Store, Model Training ...

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Would you enjoy training more junior team members? We are seeking a Senior Data Scientist II to ... Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies)

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Would you enjoy training more junior team members? We are seeking a Senior Data Scientist II to ... Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies)

Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event ... and training; licensure and certifications; and other business and organizational needs. The ...

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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:

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

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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.

AI Operations Engineer

ACA Group

Durham, NC • Hybrid

$67K - $90K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted yesterday


Job description

About the Role

We are seeking an AI Operations Engineer to help support and optimize our next-generation AI platform focused on compliance, surveillance, and intelligent workflow automation.This role will work closely with AI engineers, product managers, and domain experts to evaluate AI outputs, manage 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 ideal candidate is detail-oriented, analytical, and excited about working hands-on with modern AI technologies including agents, MCP servers, vector search, RAG pipelines, document/media processing, and large language models.

Responsibilities

  • Test and evaluate AI agents, prompts, and workflows across multiple use cases
  • Create, maintain, and curate labeled datasets for AI evaluation and tuning
  • Review AI-generated outputs for quality, accuracy, safety, and consistency
  • Update and optimize prompts, agent instructions, and AI "skills"
  • Help improve retrieval quality for vector search and RAG pipelines
  • Assist with evaluation frameworks and benchmark creation for LLM systems
  • Work with engineering teams to validate MCP connectors and integrations
  • Analyze model failures, hallucinations, and edge cases to improve system performance
  • Participate in human-in-the-loop review workflows for AI-generated content
  • Document testing procedures, findings, and recommended improvements
  • Collaborate with compliance and domain experts to refine AI behaviors and detection logic

What working at ACA offers: 

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. Our Total Rewards package includes medical and dental coverage and 401(k) plans, and a wide range of paid time off options as well as a flexible work environment.You'll also be granted time off for designated ACA Paid Holidays, Summer Fridays, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. We also offer unique benefits such as Student Debt Forgiveness and Pet Insurance. 

About ACA: 

ACA Group is the leading governance, risk, and compliance (GRC) advisor in financial services. We empower our clients to reimagine GRC and protect and grow their business. Our innovative approach integrates consulting, managed services, and our ComplianceAlphatechnology platform with the specialized expertise of former regulators and practitioners and our deep understanding of the global regulatory landscape. 

What we commit to: 

ACA is firmly committed to a policy of nondiscrimination, which applies to recruiting, hiring, placement, promotions, training, discipline, terminations, layoffs, transfers, leaves of absence, compensation and all other terms and conditions of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. 

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