1

Natural Language Processing Intern Jobs in Oregon

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

OR

$16 - $20.75/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

OR · On-site

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

OR

$60K/yr

About the position: We are looking for a Data & Analytics Summer Intern to help mature our ... natural language. * Agile Integration: Operate as a core member of the team, fully embedded in ...

OR · On-site

$466K - $750K/yr

Experience in one or more of the following areas: search, natural language processing, knowledge graphs, conversational agents, personalization, and reinforcement learning Links: * Netflix Research ...

OR

$466K - $750K/yr

... natural language processing, and computational advertising. We are seeking exceptional individuals to join our team as full-time Research Scientists. In this role, you will drive applied research by ...

OR · Hybrid

$106.80K - $160.20K/yr

Your solutions development experience, call center and telecom industry knowledge, understanding of Natural Language Processing (NLP) technologies for chat and voice, and strong customer presence ...

Natural language processing * Equipment utilization analysis * Supply/Demand analysis * Inventory level optimization * Supply management and procurement * Measuring and tracking efficiency indicators ...

... Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and procurement Measuring and tracking efficiency indicators Data ...

We are looking for a Data Platform Product Intern to act as a high-leverage partner to our Product ... This could range from a natural-language data quality assistant to a metadata enrichment agent ...

New

Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Language Model (MMLLMs)

OR

$122.40K - $161.30K/yr

... natural language processing. We are a fast-paced team building a highly-performant AI inference platform to make design and deployment of new AI models easier and accessible to all users. What you'll ...

We serve Oregon customers of Portland General Electric, Pacific Power, NW Natural, Cascade Natural ... processes, data systems, and approaches to measuring equitable customer participation and gathering ...

We serve Oregon customers of Portland General Electric, Pacific Power, NW Natural, Cascade Natural ... processes, data systems, and approaches to measuring equitable customer participation and gathering ...

We serve Oregon customers of Portland General Electric, Pacific Power, NW Natural, Cascade Natural ... processes, data systems, and approaches to measuring equitable customer participation and gathering ...

next page

Showing results 1-20

Natural Language Processing Intern information

See Oregon salary details

$9

$18

$25

How much do natural language processing intern jobs pay per hour?

As of May 31, 2026, the average hourly pay for natural language processing intern in Oregon is $18.30, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.34 per hour, depending on experience, location, and employer.

What is a Natural Language Processing Intern job?

A Natural Language Processing (NLP) Intern works on projects related to computational linguistics, machine learning, and text analysis. Responsibilities may include preprocessing text data, training and fine-tuning language models, implementing NLP algorithms, and evaluating model performance. Interns typically collaborate with data scientists, engineers, and researchers to improve and deploy NLP solutions for tasks such as sentiment analysis, named entity recognition, or chatbot development. This role requires proficiency in programming languages like Python, familiarity with NLP libraries such as TensorFlow or spaCy, and a strong foundation in machine learning concepts.

What are the key skills and qualifications needed to thrive in the Natural Language Processing Intern position, and why are they important?

To thrive as a Natural Language Processing Intern, you need a solid background in programming (especially Python), understanding of machine learning concepts, and coursework or experience in linguistics or NLP techniques. Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face, and experience using platforms like Jupyter Notebooks and version control systems are often required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will help you stand out. These skills and qualities enable you to effectively support research, analyze language data, and contribute to NLP projects within collaborative technical teams.

What types of projects or tasks do Natural Language Processing Interns typically work on during their internship?

As a Natural Language Processing Intern, you can expect to work on projects such as building or refining text classification models, cleaning and annotating datasets, assisting with the implementation of algorithms for tasks like sentiment analysis or language generation, and analyzing the performance of NLP systems. Interns often collaborate with experienced data scientists, machine learning engineers, and linguists to solve real-world language processing challenges. You may also help research new NLP techniques or work on the integration of models into existing products or services. This hands-on experience provides valuable exposure to practical NLP workflows and is a great stepping stone for a career in AI or machine learning.

Is ChatGPT an NLP?

ChatGPT is an AI language model developed using natural language processing (NLP) techniques, which enable it to understand and generate human-like text. As a tool often used in NLP applications, it demonstrates the practical use of NLP skills that a Natural Language Processing Intern might work with. Understanding NLP concepts is essential for roles involving language models like ChatGPT.
What are popular job titles related to Natural Language Processing Intern jobs in Oregon? For Natural Language Processing Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Intern jobs in Oregon look for? The top searched job categories for Natural Language Processing Intern jobs in Oregon are:
What cities in Oregon are hiring for Natural Language Processing Intern jobs? Cities in Oregon with the most Natural Language Processing Intern job openings:
Infographic showing various Natural Language Processing Intern job openings in Oregon as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 93% Physical, and 7% Hybrid job distribution, with an average salary of $38,057 per year, or $18.3 per hour.
Data Quality Analyst

Full-time

Posted 9 days ago


Welocalize rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

203rd of 425 rated business services


Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login

When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS.

Thank you!

NOTICE:For Privacy Policy please review here

Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details: