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Llm Trainer Jobs (NOW HIRING)

This leader would partner with our clients (leading LLM labs) research teams to: * Identify opportunities for building training datasets to improve model capabilities and performance * Generate these ...

Target AI infrastructure (model serving, training pipelines, vector databases, GPU/MLOps tooling ... Build and extend LLM-powered applications (prompting, structured output, agentic workflows)

This leader would partner with our clients (leading LLM labs) research teams to: * Identify opportunities for building training datasets to improve model capabilities and performance * Generate these ...

This leader would partner with our clients (leading LLM labs) research teams to: * Identify opportunities for building training datasets to improve model capabilities and performance * Generate these ...

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Experience designing and implementing end-to-end training pipelines, including data shaping, model ...

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Llm Trainer information

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$15

$36

$92

How much do llm trainer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for llm trainer in the United States is $36.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $52.88 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 cities are hiring for Llm Trainer jobs? Cities with the most Llm Trainer job openings:
What are the most commonly searched types of Llm Trainer jobs? The most popular types of Llm Trainer jobs are:
What states have the most Llm Trainer jobs? States with the most job openings for Llm Trainer jobs include:
Infographic showing various Llm Trainer job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $76,772 per year, or $36.9 per hour.

QA Specialist (GenAI/LLM)

Brillfy Technology

Louisville, KY • On-site

Other

Posted 20 days ago


Job description

Job Title: QA Specialist – Generative AI / LLM
Location: Louisville, KY (Onsite)
Hours: Minimum 30 Hours/Week

Job Summary

Centific is seeking an experienced QA Specialist to support Generative AI and Large Language Model (LLM) projects. The ideal candidate will review data annotations, ensure quality standards, provide actionable feedback to annotators, and maintain high-quality AI training data. This is a fully onsite opportunity in Louisville, KY.

Required Skills
  • 2–3+ years of Quality Assurance/Quality Management experience, preferably in AI data labeling or annotation projects
  • Experience reviewing and validating annotated data
  • Strong understanding of AI/LLM data annotation workflows
  • Experience creating or reviewing annotation guidelines
  • Excellent written and verbal English communication
  • Strong attention to detail and analytical skills
  • Proficiency with Microsoft Office (Excel, Outlook, PowerPoint)
  • Ability to work onsite in Louisville, KY
Preferred Qualifications
  • Bachelor''s degree (Linguistics or related field preferred)
  • Experience with GenAI, LLM, Data Annotation, RLHF, or AI training datasets
  • Experience providing quality feedback and coaching annotators