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Remote Natural Language Processing Engineer Jobs in Oregon

Arbital Health

AI Engineer

OR · On-site +1

$155K - $180K/yr

... in natural language and visualize it on demand. The 1st AI-powered platform built for VBC by ... We will also consider highly qualified remote candidates who can travel to San Francisco for in ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic ...

Netflix

AI Research Scientist 4/5 - Generative Models

OR · On-site +1

$466K - $750K/yr

... engineers to integrate models into business applications and platforms. Act as a subject matter ... Strong foundation in ML and Deep Learning, especially in Natural Language Processing ...

Varsity Tutors

Vibe Coding Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of AI-assisted software development using natural language prompts, iterative prompt ... non-programmers building first applications through developers integrating AI into existing ...

Varsity Tutors

Vibe Coding Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of AI-assisted software development using natural language prompts, iterative prompt ... non-programmers building first applications through developers integrating AI into existing ...

Varsity Tutors

Vibe Coding Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of AI-assisted software development using natural language prompts, iterative prompt ... non-programmers building first applications through developers integrating AI into existing ...

Varsity Tutors

Lovable Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of Lovable AI-powered application builder including natural language app creation, U ... and developers seeking rapid application prototyping and deployment with AI-powered tools.

Varsity Tutors

Lovable Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of Lovable AI-powered application builder including natural language app creation, U ... and developers seeking rapid application prototyping and deployment with AI-powered tools.

Varsity Tutors

Lovable Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of Lovable AI-powered application builder including natural language app creation, U ... and developers seeking rapid application prototyping and deployment with AI-powered tools.

Wix

Account Executive, Education - Base44

OR · On-site +1

$115K - $130K/yr

... using natural language. You'll be building the playbook from scratch in a high-growth, post ... This role is ideal for a seasoned seller who knows how to navigate the Education buying process ...

Pantheon Systems, Inc

Senior Analytics Engineer

OR · On-site +1

$135K - $188K/yr

Familiarity with AI- or natural-language-driven analytics * Exposure to orchestration (Airflow ... If you need a reasonable accommodation due to a disability for any part of the interview process ...

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Showing results 21-40

All JobsNatural Language Processing Engineer JobsRemote Natural Language Processing Engineer JobsRemote Natural Language Processing Engineer Jobs in Oregon

Remote Natural Language Processing Engineer information

See Oregon salary details

$52.3K

$97.3K

$150.7K

How much do remote natural language processing engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote natural language processing engineer in Oregon is $97,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $108,900.00 per year, depending on experience, location, and employer.

What does a remote natural language processing engineer do?

A Remote Natural Language Processing (NLP) Engineer specializes in developing systems that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and chatbot creation, often utilizing machine learning and deep learning techniques. Working remotely, they collaborate with data scientists, software engineers, and product teams to build and optimize NLP models for various applications. Their work helps improve the way machines interact with people through written and spoken language.

What are the key skills and qualifications needed to thrive as a remote natural language processing engineer?

To succeed as a Remote Natural Language Processing Engineer, you need strong programming skills in Python, a solid understanding of machine learning and linguistics, and a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), cloud platforms, and version control systems is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this position. These abilities enable engineers to build robust language models, collaborate efficiently across distributed teams, and deliver impactful NLP solutions.

How do remote natural language processing engineers typically collaborate with other team members across different time zones?

Remote Natural Language Processing Engineers often work with cross-functional teams, including data scientists, software developers, and product managers, who may be distributed globally. Effective collaboration usually involves leveraging tools like Slack, Jira, and video conferencing to maintain clear communication and coordinate project updates. Flexibility in scheduling and strong documentation skills are important to ensure everyone stays aligned despite time zone differences. Regular virtual meetings and asynchronous communication help address challenges and keep projects on track.

What is the difference between Remote Natural Language Processing Engineer vs Remote Data Scientist?

AspectRemote Natural Language Processing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in CS, NLP, or related; experience with NLP frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentFocus on NLP projects, language models, text analysisBroader data analysis, predictive modeling, data visualization
Industry UsageTech, AI, research, companies developing language-based productsFinance, healthcare, tech, consulting, across various sectors

Remote Natural Language Processing Engineers specialize in language-specific AI models and text analysis, while Remote Data Scientists work on broader data analysis and predictive modeling. Both roles require strong technical skills and often overlap in data handling, but NLP Engineers focus more on language data and models.

What are popular job titles related to Remote Natural Language Processing Engineer jobs in Oregon?

For Remote Natural Language Processing Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Natural Language Processing Engineer jobs in Oregon look for?

The top searched job categories for Remote Natural Language Processing Engineer jobs in Oregon are:

What cities in Oregon are hiring for Remote Natural Language Processing Engineer jobs?

Cities in Oregon with the most Remote Natural Language Processing Engineer job openings:

Remote Natural Language Processing Engineer jobs near you
Infographic showing various Remote Natural Language Processing Engineer job openings in Oregon as of July 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $97,289 per year, or $46.8 per hour.

AI Engineer

Arbital Health

OR • On-site, Remote

$155K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Develop Arbital's next-generation conversational AI.

  • Manage the deployment and monitoring of AI solutions in production environments to ensure performance and troubleshoot issues.

  • Collaborate with cross-functional teams on Arbital's AI strategy.

Job description

Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale.  We enable payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability.
We invest in hiring high potential and humble individuals who thrive in fast-paced environments and can rapidly grow their responsibilities as we continue to accelerate our growth.
 
We were co-founded by Brian Overstreet and Travis May (founder & former CEO of LiveRamp and Datavant, the two biggest data companies of the last 20 years), and are backed by Transformation Capital, Valtruis and other leading investors. In our first 2 years, Arbital Health has established itself as a trusted partner for over 40 payers, providers, and other stakeholders looking to navigate the complexities of risk-based contracting.

Arbital AI allows users to interact with complex VBC contracts & performance data in natural language and visualize it on demand. The 1st AI-powered platform built for VBC by industry leading healthcare actuaries, Arbital AI makes complex contract performance data conversational, transparent, and instantly actionable. 

We are looking for an AI Engineer to help build our next-generation conversational AI experiences. This role sits at the intersection of AI models and the data systems behind them: you'll build retrieval and evaluation pipelines and the knowledge systems that ground our models' responses in production, working alongside senior engineers while keeping the customer experience front and center.

Is this role right for you?

If you want to make an impact on the US healthcare system, the idea of Arbital AI excites you, and the following matches your skills, experience, and interests:


   Development and deployment of a data-intensive AI product on a SaaS platform
   Programming in Python and SQL
   Learning new frameworks, technologies, tools, and techniques in AI development 
   Hands-on experience with prompt engineering, model testing, and automated evaluation techniques for
       conversational AI.
   You strive for technically sound solutions that enhance user workflows, demonstrating a talent for iterative improvement and rigorous testing

Impact:
As an AI Engineer at Arbital Health, you'll play a pivotal role in shaping the future of value-based healthcare through intelligent automation. You'll help unlock insights from complex financial, clinical, and actuarial data by:

   Help advancing our AI architecture for interacting with complex and unstructured healthcare contract & financial data,  delivering real-time analytics and visualizations
   Driving the evaluation and production-scale deployment of LLMs within a HIPAA-compliant environment
   Dramatically reducing analytics time for strategic decision-making

Responsibilities:
   Develop Arbital's next-generation conversational AI 
   Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital's AI strategy
   Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues
   Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
Requirements:
   2 - 5 years of experience in data-intensive, SaaS platform development projects
   More than one year in machine learning or AI-related roles
   Familiarity with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks
   Familiarity with AI orchestration frameworks like LangChain, ADK, etc.
   Familiarity with maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations.
   Proficiency in Python and Cloud ML Services like Vertex AI, AWS Bedrock and SageMaker
   Experience with Airflow, Databricks, and AWS or GCP
   Ability to ship extremely high-caliber code and build exceptional products
   Passionate about improving and innovating
   Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.
Tools we use:
   Infrastructure: AWS, GCP, Databricks, Airflow,  Datadog
   AI: Vertex AI, GCP Model Garden, MLflow, Databricks Vector Search
   Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS
   IDE: Cursor, Claude Code, and R Studio
   Version Control: GitHub
   Team Planning / Design: Jira, Confluence, Claude, Gemini
$155,000 - $180,000 a year
Why Join Us?
We are assembling a team of creative, talented visionaries seeking to build a new technology that will change healthcare. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.
 
We Offer:
  Generous equity grants of ISO stock options
  We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance
  4% 401(k) match
  Flexible PTO, a weeklong winter shutdown, and 10 holidays each year
  Occasional travel required - Quarterly team offsites
  The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care
 
Work Authorization
  Applicants must be legally authorized to work in the United States for the duration of their employment.
This position is not eligible for employer-sponsored immigration sponsorship, now or in the future.  Applicants must be able to work in the United States without requiring employer sponsorship.
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