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Natural Language Processing Jobs in California (NOW HIRING)

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 Python Developer

Agoura Hills, CA

$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 ...

Sanas

Senior Software Engineer

Palo Alto, CA · On-site

$144K - $190K/yr

Required : • Bachelor's in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning, Deep Learning, Natural Language Processing, or Speech Processing and 2 ...

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 :: • ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/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 ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/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 ...

Forhyre

Prompt Engineers

Los Angeles, CA

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

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$13

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$47

How much do natural language processing jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for natural language processing in California is $25.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $29.18 per hour, depending on experience, location, and employer.

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

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

Will AI replace NLP?

As a natural language processing (NLP) professional, AI is a tool that enhances NLP capabilities rather than replacing the field entirely. Advances in machine learning and deep learning continue to improve NLP applications, but human expertise remains essential for developing, training, and fine-tuning these systems. NLP specialists are expected to adapt and work alongside AI technologies to create more accurate and context-aware language models.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What jobs are there in NLP?

Jobs in Natural Language Processing (NLP) include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, Computational Linguist, and Research Scientist. These positions typically require skills in programming, machine learning, and linguistics, and often involve working with tools like Python, TensorFlow, or spaCy to develop language models and algorithms.

Is NLP a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.
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 jobs in California? For Natural Language Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in California look for? The top searched job categories for Natural Language Processing jobs in California are:
What cities in California are hiring for Natural Language Processing jobs? Cities in California with the most Natural Language Processing job openings:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in California as of June 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $52,292 per year, or $25.1 per hour.
AIML - iOS Software Engineer, Answers, Knowledge & Information (AKI)

AIML - iOS Software Engineer, Answers, Knowledge & Information (AKI)

Apple

Santa Clara, CA • On-site

$164K/yr

Full-time

Posted 15 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Answers, Knowledge, and Intelligence team is seeking a software engineer to build and maintain core infrastructure powering on-device search technologies across Apple's ecosystem. In this role, you'll collaborate with world-class teams in machine learning, natural language processing, and platform infrastructure to deliver private, fast, and intelligent user experiences. Your work will directly impact how users interact with information across iPhone, iPad, Mac, and more...Join us and help shape the future of on-device intelligence at Apple, where performance, privacy, and intelligent user experiences are at the heart of everything we build!
As an Infrastructure Engineer on our team, you will play a critical role in supporting the on-device foundation for Apple's search capabilities. You'll contribute to scalable, modular, and privacy-preserving infrastructure, working closely with teams across NLP, application frameworks, and OS technologies to ensure seamless integration across all Apple platforms.Key responsibilities include: - Designing and maintaining robust infrastructure for on-device search systems. - Building durable and reusable components with long-term evolution in mind. - Collaborating across teams to adapt and optimize ML/NLP technologies for Apple's software stack. - Ensuring user privacy by using Apple's secure and on-device architecture.We value engineers who are passionate about infrastructure, enthusiastic about cross-functional collaboration, and motivated by the challenges of working at scale!
2+ years of experience in Swift, Objective-C, or C++Experience designing and maintaining CI/CD pipelinesStrong scripting skills in Python, Bash, or similarProficiency in automating workflows and deployment tasksCapable of analyzing and debugging large-scale systems and datasetsBachelor's degree in Computer Science or equivalent practical experience
Experience developing for Apple platforms Familiarity with profiling tools and performance optimization techniquesBackground in search, indexing, or natural language processing technologiesExperience working on privacy-preserving infrastructure and on-device ML

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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