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Remote Llm Trainer Jobs in Oregon (NOW HIRING)

Gnostech LLC

Software Engineer (US-Remote)

OR · On-site +1

Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance ... Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation ...

Quora

$139K - $168K/yr

... training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

... training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ... LI-SS2 LI-REMOTE

Quora

$139K - $168K/yr

... training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ... LI-SS2 LI-REMOTE

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Implement LLM-based systems with: * Tool-calling frameworks * Retrieval-Augmented Generation (RAG)

PointClickCare

(Canada) Principal ML System Engineer

OR · On-site +1

$176K - $195K/yr

Experience optimizing large model training and inference (including LLM serving) for performance and cost. #LI-AJ1 #LI-remote $176,000 - $195,000 a year At PointClickCare, base salary is one of the ...

New

Endava

Forward Deployed Engineer (Palantir)

Remote Opportunity MUST HAVE EXPERIENCE WITH PALANTIR * As a Senior Forward Deployed Engineer ... Learning Opportunities: Complex projects, rotations, internal tech communities, training ...

Musixmatch S.p.a

Security Practice Lead

OR · On-site +1

Security Evangelism, Training & Vendor Management: Champion a security-first culture across the ... Relocation to Bologna (Italy) or remote work. We are a hybrid company. * Italian and English ...

Honor

Staff Data Scientist

Portland, OR · Remote

Champion the use of LLM-driven workflows across the company. Partner with Engineering to design ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Cresta

Lead Engineer - AI Agent Voice Experience

OR · On-site +1

Experience with RAG systems, agentic workflows, multi-step reasoning systems, or LLM-as-a-judge ... Remote work setup budget or work-from-home stipend * Monthly wellness and communication allowance

Chainguard

AI Solutions Engineer

OR · On-site +1

... on top of LLM APIs - tool/function calling, agents, prompt and context engineering, RAG, and ... autonomously in a remote, globally distributed team - taking initiative and seeking help ...

All JobsLlm Trainer JobsRemote Llm Trainer JobsRemote Llm Trainer Jobs in Oregon

Remote Llm Trainer information

What is a remote LLM trainer?

Remote LLM Trainers are professionals who work from any location to help train large language models (LLMs) by providing high-quality data, evaluating model outputs, and refining model behavior. They may annotate data, review AI-generated content, or design prompts and tasks to improve the model's performance. These roles are crucial in ensuring that LLMs become more accurate, safe, and useful across various applications. Remote LLM Trainers often have backgrounds in language, linguistics, data science, or related fields and rely on digital tools to collaborate with AI development teams.

What does a remote LLM trainer do?

As a Remote LLM Trainer, your workday often involves creating, curating, and reviewing datasets, developing prompts, and evaluating large language model outputs for quality and safety. Much of your collaboration happens asynchronously through digital channels—such as project management tools, messaging platforms, and regular video meetings—with researchers, data scientists, and fellow trainers. You may also participate in feedback sessions to discuss model behavior and share insights on improving training methodologies. Adapting to rapidly evolving project requirements and maintaining clear communication are key to success in this distributed, fast-paced environment.

What is the difference between Remote Llm Trainer vs Data Scientist?

AspectRemote Llm TrainerData Scientist
Required CredentialsBackground in AI, NLP, or machine learning; often a degree in computer science or related fieldDegree in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentRemote, collaborative teams developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and deriving insights
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting, and research organizations

While both roles involve working with data and machine learning, a Remote Llm Trainer specializes in training and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various industries.

What are the key skills and qualifications needed to thrive as a remote LLM trainer?

To thrive as a Remote LLM Trainer, you need a deep understanding of machine learning, natural language processing, and large language models, typically supported by a degree in computer science or related fields. Experience with Python, deep learning frameworks like TensorFlow or PyTorch, and familiarity with annotation tools or data labeling platforms is essential. Strong communication, attention to detail, and the ability to work independently are standout soft skills in this role. These skills and qualities ensure accurate model training, effective collaboration with distributed teams, and the delivery of high-quality AI solutions.

What are the most commonly searched types of Llm Trainer jobs in Oregon?

The most popular types of Llm Trainer jobs in Oregon are:

What are popular job titles related to Remote Llm Trainer jobs in Oregon?

For Remote Llm Trainer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Llm Trainer jobs in Oregon look for?

The top searched job categories for Remote Llm Trainer jobs in Oregon are:

What cities in Oregon are hiring for Remote Llm Trainer jobs?

Cities in Oregon with the most Remote Llm Trainer job openings:

Remote Llm Trainer jobs near you

Software Engineer (US-Remote)

Gnostech LLC

OR • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

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Careers >> Software Engineer (US-Remote)
Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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