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Remote Rag Jobs in Vancouver, WA (NOW HIRING)

tyfonecom

AI Forward Engineer

Portland, OR · Remote

This is a remote position. Title: AI Forward Engineer Location: Remote, USA (Preferable in EDT ... Build agent and RAG pipelines using frameworks such as LangChain, LlamaIndex, Semantic Kernel ...

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All JobsRag JobsRemote Rag JobsRemote Rag Jobs in Vancouver, WA

Remote Rag information

See Vancouver, WA salary details

$18

$22

$24

How much do remote rag jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote rag in Vancouver, WA is $22.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $23.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
What are popular job titles related to Remote Rag jobs in Vancouver, WA? For Remote Rag jobs in Vancouver, WA, the most frequently searched job titles are:
What job categories do people searching Remote Rag jobs in Vancouver, WA look for? The top searched job categories for Remote Rag jobs in Vancouver, WA are:
What cities near Vancouver, WA are hiring for Remote Rag jobs? Cities near Vancouver, WA with the most Remote Rag job openings:
Remote Rag jobs near you
Test Lead - Accessibility Testing

Test Lead - Accessibility Testing

Noblesoft Technologies

Oregon City, OR • Remote

$48.50 - $66.25/hr

Contractor

Posted 21 days ago

Job description

Job Role: Senior Test Lead - Accessibility Testing
Location: Remote
 
Experience level: 10 + years
Must have skills: SDET skills, Azure devops, python, pytest test automation and Framework, AI ML practices, RAGAS, LLMs
 
Brief JD:
  • Experience in designing LLM/RAG test automation solutions
  • Experience in testing for bias, drift, and fairness.
  • Familiarity with performance metrics (precision, recall, F1, ROC-AUC).
  • Knowledge of MLflow MLOps framework 
  • Knowledge of tools for synthetic data generation and boundary testing
  • Knowledge of Azure DevOps for CI/CD pipeline development
  • Experience in RAG/pipeline evaluation frameworks - 
    • pytest: Test automation framework
    • DeepEval or TruLens: LLM test assertions
    • RAGAS: RAG-specific metrics
    • Eleuther: LLM evaluation harness
    • Garak or Promptfoo: LLM red-teaming
    • Evidently: Drift/performance monitoring
  • Exposure to explainability frameworks (SHAP, LIME, Captum)
• Handson experience in API and Database testing.
• Practical knowledge of Databricks, Azure Cloud services land distributed data validation.
• Proficiency with Azure DevOps pipelines YAML templates, agent pools, CICD workflows.
• Experience in implementing AIML practices in testing e.g., test generation, anomaly detection, log analysis to improve test efficiency and coverage.
• Familiarity with Cucumber (BDD) and test reporting frameworks (e.g., Allure).
• Strong understanding of integration testing across Databricks streaming jobs, applications and microservices.
• Experience with performance testing tools (JMeter, LoadRunner, or equivalent).
• Experience with Pester framework for validating PowerShell scripts and infrastructure automation.
• Solid understanding of Agile/Scrum methodology and handson usage of JIRA.
• Excellent problem-solving, debugging, and communication skills, with the ability to advise development teams on testing best practices