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Llm Trainer Jobs in Remote, OR (NOW HIRING)

Sara Software Systems

AI Engineer

OR · Remote

Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval ... Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow)

Sara Software Systems

AI Engineer

OR · Remote

Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval ... Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow)

All JobsLlm Trainer JobsLlm Trainer Jobs in Remote, OR

Llm Trainer information

See Remote, OR salary details

$15

$36

$92

How much do llm trainer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for llm trainer in Remote, OR is $36.87, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $52.84 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.

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Infographic showing various Llm Trainer job openings in Remote, OR as of August 2026, with employment types broken down into 78% Full Time, 16% Part Time, 5% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $76,696 per year, or $36.9 per hour.

AI Engineer

Sara Software Systems

OR • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

We are seeking an AI Engineer who is, first and foremost, a strong software engineer. In this role, you will design, build, and ship AI-powered features end to end, from integrating large language models and machine learning services into our products, to developing the front-end applications that put those capabilities in users' hands. You will work across the stack, with a strong emphasis on front-end development and cloud-native engineering on Google Cloud Platform (GCP). 

Responsibilities 

  • Design, develop, and deploy AI-powered applications and features, integrating LLMs and ML models into production software 
  • Build and maintain responsive, high-quality front-end applications using modern JavaScript frameworks (React, Angular, or Vue) 
  • Develop APIs and backend services that connect front-end applications with AI/ML models and data pipelines 
  • Build, evaluate, and optimize LLM-based solutions including prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, embeddings, and vector search 
  • Architect, deploy, and manage applications and AI workloads on Google Cloud Platform (Vertex AI, Cloud Run, Cloud Functions, BigQuery, GKE) 
  • Fine-tune and integrate models from providers such as OpenAI, Anthropic, and Google, as well as open-source models (Hugging Face, LLaMA, etc.) 
  • Implement MLOps/LLMOps best practices: CI/CD pipelines, model monitoring, evaluation, and versioning 
  • Write clean, well-tested, maintainable code and participate in code reviews 
  • Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions 
  • Stay current with the rapidly evolving AI/ML landscape and recommend new tools and approaches 

Required Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) 
  • 3+ years of professional software engineering experience 
  • Strong proficiency in Python and JavaScript/TypeScript 
  • Hands-on experience building front-end applications with React, Angular, or similar frameworks (HTML, CSS, modern UI patterns) 
  • Experience developing and deploying applications on Google Cloud Platform 
  • Practical experience integrating LLM APIs (OpenAI, Anthropic Claude, Google Gemini) into applications 
  • Experience with RESTful APIs, microservices, and modern software architecture 
  • Familiarity with vector databases (Pinecone, Weaviate, pgvector, or similar) and RAG architectures 
  • Solid understanding of Git, CI/CD, containerization (Docker), and agile development practices 
  • Strong problem-solving skills and ability to work independently and within a team 

Preferred Qualifications 

  • Experience with Vertex AI, LangChain, LlamaIndex, or similar AI application frameworks 
  • Experience with agentic AI workflows, function/tool calling, and multi-agent systems 
  • Knowledge of ML fundamentals: model training, fine-tuning, and evaluation (PyTorch or TensorFlow) 
  • Experience with Kubernetes (GKE) and infrastructure-as-code (Terraform) 
  • Experience with SQL/NoSQL databases and data pipelines (BigQuery, Dataflow) 
  • GCP certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Developer) 
  • Experience shipping user-facing AI products from concept to production 

Company Description

Sara Software Systems, LLC founded in July 2004 is a small, woman, minority owned and economically disadvantaged 8(a) business as approved by the Small Business Administration (SBA). Owned and managed by experienced IT professionals, we bring a realistic and knowledgeable approach with 15 years of technical excellence to solve complex federal and commercial IT challenges, transform how organizations operate, and protect our Customer's critical infrastructure.
Sara Software Systems, LLC is a process-driven and quality-focused company and we are appraised at Maturity Level (ML) 3 by the CMMI Institute for both DEV + SVC. Our CMMI DEV ML3 appraisal was specifically focused on Agile and DevSecOps. We are International Standards of Organization (ISO) 9001:2015, ISO 20000-1:2011 and ISO 27001:2013-certified.

Sara Software Systems, LLC is a leading technology Services provider with focus in Application Development and Modernization, Agile Transformations, Program Management , Information Technology , Software development, Cybersecurity, IT infrastructure, Business Process Reengineering and Service Desk services for Federal Agencies and commercial organizations. We serve the business needs of our customers by providing strategy, program management, architecture, and sustainment of information technology solutions both in traditional waterfall and agile methodologies that transform ideas to value.