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Machine Learning Natural Language Processing Jobs in Portland, OR

Epiq

Advanced Technologies Consultant

Beaverton, OR

$110K - $135K/yr

... AI processes and defining the critical path for review and production. * Draft recommended ... Experience with Technology-Assisted Review (TAR) using machine learning and/or GenAI tools in an e ...

Lazarus Naturals

Natural Product Specialist

Portland, OR · On-site

$65K - $90K/yr

... processing, packaging and warehousing to support both brands and private label customers. Lazarus ... explain in common language how products are scientifically backed to support certain ...

Lazarus Naturals

Natural Product Specialist

Portland, OR · On-site

$65K - $90K/yr

... processing, packaging and warehousing to support both brands and private label customers. Lazarus ... explain in common language how products are scientifically backed to support certain ...

Hitachi

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

Hillsboro, OR · On-site +1

$121K - $167K/yr

PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ... Data processing tools (Pandas, Spark, SQL) * Deploy models and services using: * REST APIs (FastAPI ...

Bob's Red Mill

Machine Operator I - Day

Milwaukie, OR

$21/hr

Since 1978, we have been leading the natural foods industry by providing our customers with good ... Monitors quality control throughout entire packaging process * Complies with all company policies ...

Bob's Red Mill

Machine Operator I - Grave

Milwaukie, OR · On-site

$21/hr

Since 1978, we have been leading the natural foods industry by providing our customers with good ... Monitors quality control throughout entire packaging process * Complies with all company policies ...

Bob's Red Mill

Machine Operator I - Day

Milwaukie, OR

$21/hr

Since 1978, we have been leading the natural foods industry by providing our customers with good ... Monitors quality control throughout entire packaging process * Complies with all company policies ...

Weir Group

Machine Operator - Molder

Portland, OR

$26/hr

Familiarity with quality control processes in casting or molding. Commitment to continuous ... We're passionate about our purpose to help deliver the natural resources that are essential to ...

Weir

Machine Operator - Molder

Portland, OR

$26/hr

Familiarity with quality control processes in casting or molding. Commitment to continuous ... We're passionate about our purpose to help deliver the natural resources that are essential to ...

Varsity Tutors

Cursor Tutor

Portland, OR · Remote

$18 - $40/hr

... code completion, natural language code generation, codebase-aware context, multi-file editing ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Bob's Red Mill

Machine Operator I - Grave

Milwaukie, OR · On-site

$21/hr

Since 1978, we have been leading the natural foods industry by providing our customers with good ... Monitors quality control throughout entire packaging process * Complies with all company policies ...

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All JobsMachine Learning Natural Language Processing JobsMachine Learning Natural Language Processing Jobs in Portland, OR

Machine Learning Natural Language Processing information

See Portland, OR salary details

$15

$21

$28

How much do machine learning natural language processing jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for machine learning natural language processing in Portland, OR is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $22.93 per hour, depending on experience, location, and employer.

How do professionals in Machine Learning Natural Language Processing typically collaborate with cross-functional teams?

In Machine Learning Natural Language Processing (NLP) roles, collaboration with cross-functional teams is essential. NLP professionals frequently work alongside data engineers to gather and preprocess large datasets, software developers to integrate models into products, and product managers to align technical solutions with business goals. Regular communication, agile methodologies, and collaborative problem-solving sessions are common to ensure that NLP models are both technically sound and user-oriented. This teamwork not only enhances the effectiveness of NLP solutions but also provides opportunities to learn from colleagues with diverse expertise.

What engineers make $500,000?

Senior machine learning engineers and natural language processing (NLP) specialists with extensive experience, advanced skills in deep learning frameworks, and strong industry demand can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on product development.

What is a Machine Learning Natural Language Processing (NLP) specialist?

A Machine Learning Natural Language Processing (NLP) specialist is a professional who designs, develops, and implements algorithms and models that allow computers to understand, interpret, and generate human language. They use machine learning techniques to work on tasks such as text classification, sentiment analysis, language translation, and speech recognition. NLP specialists often work with large datasets and require strong skills in programming, linguistics, and data science. Their work enables applications like chatbots, virtual assistants, and search engines to better process human language.

Which 3 jobs will survive AI?

For a Machine Learning Natural Language Processing professional, roles such as AI ethics specialists, data scientists, and machine learning engineers are expected to persist due to their focus on developing, managing, and overseeing AI systems. These jobs require advanced technical skills, domain expertise, and ongoing adaptation to new tools and algorithms, making them more resilient to automation.

What are the key skills and qualifications needed to thrive as a Machine Learning Natural Language Processing specialist, and why are they important?

A Machine Learning Natural Language Processing (NLP) specialist needs strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and advanced knowledge in linguistics or computational linguistics, often supported by a relevant degree. Familiarity with NLP libraries (like NLTK, spaCy, or Hugging Face Transformers), experience with machine learning frameworks (such as TensorFlow or PyTorch), and sometimes certifications in data science or AI are typically required. Excellent problem-solving ability, collaboration, and effective communication are crucial soft skills to excel in this field. These skills enable the development of robust NLP models, smooth integration into real-world applications, and effective teamwork on complex projects.

What is the role of machine learning in natural language processing?

In natural language processing (NLP), machine learning enables systems to automatically analyze, understand, and generate human language by training models on large datasets. Machine learning algorithms, such as neural networks and classifiers, are used to perform tasks like language translation, sentiment analysis, and speech recognition, making NLP applications more accurate and efficient. For a machine learning NLP role, knowledge of programming, data preprocessing, and relevant tools like Python and TensorFlow is essential.

What is the salary of NLP machine learning?

The salary for machine learning professionals specializing in natural language processing (NLP) typically ranges from $80,000 to $150,000 annually, depending on experience, location, and education. Entry-level roles may start lower, while experienced specialists or those with advanced skills in deep learning and NLP tools can earn higher salaries.
What are popular job titles related to Machine Learning Natural Language Processing jobs in Portland, OR? For Machine Learning Natural Language Processing jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Machine Learning Natural Language Processing jobs in Portland, OR look for? The top searched job categories for Machine Learning Natural Language Processing jobs in Portland, OR are:
Machine Learning Natural Language Processing jobs near you
Infographic showing various Machine Learning Natural Language Processing job openings in Portland, OR as of June 2026, with employment types broken down into 41% Full Time, 56% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $43,873 per year, or $21.1 per hour.

AI Engineer/ML Engineer - Senior Developers - AI Training - Portland, US

Prolific Academic Ltd

Portland, OR • On-site, Remote

$80/hr

Full-time

Posted yesterday

Job description

AI & Machine Learning Engineer - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
  • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment.
  • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
  • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
  • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
  • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content.
What you'll be doing in the role
  • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
  • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
  • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness.
  • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down.
  • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
Key Technologies
  • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras.
  • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers.
  • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain.
  • Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.