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Remote Natural Language Processing Engineer Jobs in Oregon

Zillow

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204K - $326K/yr

This role has been categorized as a Remote position. "Remote" employees do not have a permanent ... or natural language processing * 7+ years of hands-on work building large-scale, high-impact ...

hireVouch

Senior SW Engineer

OR · Remote

$122K - $161K/yr

Our cutting-edge, AI-powered software, which leverages Natural Language Processing (NLP), replaces ... We value engineers who can iterate quickly and care deeply about building high-quality systems. If ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information ... We support remote applicants from all over the US but candidates who can come to the office 2-3 ...

Corvel

Data Scientist II

Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ... Feature engineering and model evaluation techniques * Experience working with cloud platforms such ...

Jamf

Senior Business Intelligence Analytics Engineer

OR · On-site +1

$51 - $66.25/hr

... natural language querying through tools like Snowflake Cortex Analyst. You'll raise the bar on data ... Set and uphold engineering standards writing maintainable, high-scale SQL and dbt code, leading ...

Cresta

Associate Conversational AI Designer

OR · On-site +1

$60K - $95K/yr

... Engineering. You may also work directly with customers to get alignment on our overall solution ... General knowledge of Conversational AI and natural language processing models. * Background in ...

Workiva, Inc.

Senior AI Product Manager

OR · On-site +1

$126K - $166K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Practical experience managing products that leverage Natural Language Processing (NLP), Large ...

Graymont

Process Engineer

OR · Remote

Engineering/geology/mining/remote ops/central lab Location United States - Remote Classification Salaried

Graymont

Process Engineer

OR · Remote

Engineering/geology/mining/remote ops/central lab Location United States - Remote Classification Salaried

RTI International

Senior Biostatistician

This role may be hybrid or fully remote, with a strong preference for candidates located in North ... Familiarity with SAS, machine learning, and natural language processing is desirable but not ...

Natera

Staff AI-Native Platform Engineer

OR · Remote

US - Remote Experience: 8+ years in Cloud/Platform Engineering or Infrastructure, with a proven ... Integrate natural language interfaces into our IDP, allowing developers to interact with the ...

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Showing results 1-20

All 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 Jun 17, 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 are the key skills and qualifications needed to thrive as a Remote Natural Language Processing Engineer, and why are they important?

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.

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 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.

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 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 June 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $97,289 per year, or $46.8 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Portland, OR • Remote

Other

Posted 25 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply