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Natural Language Processing Intern Jobs in California

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or ...

Kaizen Stackup

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Design and implement intelligent agent architectures using state-of-the-art machine learning and natural language processing techniques * Develop and optimize algorithms for agent decision-making ...

Teklead Corp.

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

Description: • Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. • Learn new technologies and focus on what you're passionate about. Requirements :: • ...

AllSTEM Connections

Machine Learning Engineer

San Francisco, CA · On-site

$118K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

In this role, you will develop advanced algorithms, implement natural language processing (NLP) solutions, and streamline the end-to-end model lifecycle from research to production. This is a hands ...

Teklead Corp

Sr Python Developer

Agoura Hills, CA · On-site

$66 - $77/hr

Westlake Village, CA (Onsite, NO REMOTE) Excellent contract-to-hire job opportunity As a Software Developer for the Artificial Intelligence team, work on Machine Learning, Natural Language Processing ...

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All JobsNatural Language Processing Intern JobsNatural Language Processing Intern Jobs in California

Natural Language Processing Intern information

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

As of Aug 16, 2026, the average hourly pay for natural language processing intern in California is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What types of projects or tasks does a natural language processing intern 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.

What is a natural language processing intern?

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 as a natural language processing intern, 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 are the most commonly searched types of Natural Language Processing jobs in California?

The most popular types of Natural Language Processing jobs in California are:

What are popular job titles related to Natural Language Processing Intern jobs in California?

For Natural Language Processing Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing Intern jobs in California look for?

The top searched job categories for Natural Language Processing Intern jobs in California are:

What cities in California are hiring for Natural Language Processing Intern jobs?

Cities in California with the most Natural Language Processing Intern job openings:

Natural Language Processing Intern jobs near you
Infographic showing various Natural Language Processing Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 2% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $35,523 per year, or $17.1 per hour.

Intern, AI Engineering

Workato

San Francisco, CA • On-site

$19.75 - $25.50/hr

Other

Re-posted 11 days ago

Job description

About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit ;br>Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
  • Business Insider named us an "enterprise startup to bet your career on"
  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  • Quartz ranked us the #1 best company for remote workers

Workato AI Lab
About Workato AI Lab
Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.
Responsibilities
We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.
We are now filling intern positions for Winter 2026 and Spring 2027.
Research Areas
  • LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks
  • Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models
  • High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies
In this role, you will also be responsible to:
  • Conduct original research on LLM agent architectures and optimization techniques
  • Develop and evaluate novel algorithms with both academic rigor and production feasibility
  • Present your work at internal research seminars and external conferences
  • Mentor and collaborate with LLM engineers on implementation and deployment
Requirements
Qualifications / Experience / Technical Skills
  • Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields
  • Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)
  • Strong programming skills in Python and PyTorch
  • Ability to work in-person at our San Francisco office
  • Ability to work independently and collaborate across research and engineering teams
Preferred:
  • Experience with self-evolving agent systems
  • Proficiency in CUDA programming and custom kernel development for LLM operations
  • Background in reinforcement learning-based LLM fine-tuning
  • Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem
  • Experience bridging academic research with production systems
  • Open-source contributions to widely-used ML infrastructure projects

(REQ ID: 2690)

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