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Natural Language Processing Jobs in California (NOW HIRING)

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 :: • ...

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 ...

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.

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.

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.

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 ...

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 ...

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 Aug 22, 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 August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% 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.

Product Engineer II - Generative AI & Assistants, ArcGIS Pro

Esri

Redlands, CA

Full-time

Re-posted yesterday


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

Overview

ArcGIS Pro is a powerful geographic information system (GIS) software that is used to analyze, visualize, and share spatial data, helping to solve real-world problems. We're on a mission to improve the accessibility of these tools through AI assistant functionality. As a team committed to innovation, you'll have a unique opportunity to bring your expertise in AI and machine learning to the world's leading GIS software.

Through curiosity and investigative research, you'll understand future capabilities and be able to fine-tune AI models to ensure quality functionality. You'll design, build, and test AI Copilot experiences to assist our users in ways that have never been achieved before, impacting industries in government, public safety, conservation, imagery and more.

In this role, you'll collaborate with our cross-functional global team of software engineers, product engineers, designers, product managers, and release engineers committed to delivering a host of cutting-edge capabilities. Bring your passion for AI and natural language processing and apply today!

Responsibilities

  • Work with users and industry experts to identify primary use-cases and workflows
  • Contribute to the design and usability of ArcGIS Pro AI Copilot
  • Develop and implement test cases and validate bug fixes
  • Contribute to the maintenance, monitoring, and growth of the automated test suite
  • Troubleshoot production issues in current and past software versions
  • Work with feature teams to infuse Copilot capabilities across the ArcGIS Platform
  • Research and stay up to date with latest advances in AI and application development frameworks
  • Share and distribute your workflows and projects in samples, tutorials, blog articles, videos, and help documentation

Requirements

  • 2+ years of experience using an application development language (Python, C#)
  • Knowledge of AI and Machine Learning concepts
  • Experience in building training datasets and fine-tuning/training AI models (NLP or vision)
  • Ability to work well in a highly collaborative environment
  • Knowledge of software development processes
  • Strong analytical problem-solving abilities
  • Excellent written and verbal communication skills
  • Bachelor's degree in GIS, computer science, computer engineering, or a related field

Recommended Qualifications

  • Experience with natural language processing and generative models
  • Experience in building AI applications using frameworks such as Semantic Kernel or LangChain
  • Familiarity with Esri ArcGIS platform technologies
  • Experience with cloud services like AWS, Google Cloud, or Azure
  • Knowledge of UI/UX design techniques
  • Master's degree in GIS, computer science, computer engineering, or a related field

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Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969