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Natural Language Processing Jobs in California (NOW HIRING)

Applied Scientist Intern

San Francisco, CA Β· On-site

$17.75 - $23.50/hr

We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design, to drive the company's digital and AI transformation. Thomson ...

Role Objective Capture2 is looking for an experienced Natural Language Processing (NLP) Data Lead to join our engineering team, and to act as a leader for the information processing and extraction ...

Data Labeling Associate

San Diego, CA Β· On-site

$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 ...

Azure ML/AI Architect

Santa Clara, CA Β· On-site

$74.50 - $97.25/hr

Stay up to date with the latest advancements in the field of natural language processing and machine learning. β€’ Collaborate effectively with cross-functional teams, including researchers, DevOps ...

Strong foundational understanding of sequence modeling especially with distributed representations, embeddings etc. or deep neural networks and their applications to natural language processing.

... natural language processing (NLP) fundamentals and techniques β€’ Experience with training and fine-tuning LLMs on large-scale datasets β€’ Proficient in one or more programming languages such as ...

Showing results 41-60

Natural Language Processing information

See California salary details

$13

$25

$47

How much do natural language processing jobs pay per hour?

As of Sep 14, 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 is a natural language processing?

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 are the key skills and qualifications needed to thrive in natural language processing, 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.

What are some typical challenges faced by professionals in natural language processing?

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.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

Is natural language processing 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. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

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 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:

Infographic showing various Natural Language Processing job openings in California as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $52,292 per year, or $25.1 per hour.

Data Scientist with Security Clearance

San Diego, CA β€’ On-site

22nd Century Technologies, Inc.
IT ServicesΒ β€’Β 5 - 10K employees

Other

Re-posted 22 days ago


Job description

Data Scientist II Required:
β€’ Master’s degree in data science, Analytics, Computer Science
β€’ Minimum 5 years of experience developing, analyzing, or deploying data-driven solutions β€’ Experience with data analysis, visualization, or decision support tools
β€’ Experience with Python or similar programming languages β€’ Experience using version control systems (e.g., Git) β€’ Minimum 5+ years’ experience with machine learning or AI enabled systems. Desired:
β€’ Experience with natural language processing or large language models β€’ Experience deploying applications in operational environments (afloat/ashore) β€’ Experience with containerized environments (e.g., Docker, Kubernetes, OpenShift) β€’ Experience supporting cybersecurity considerations in software development β€’ Experience working with DOW or NAVAIR program office Security Clearance: Top Secret/SCI Clearance