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Natural Language Processing Jobs in California (NOW HIRING)

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/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 ...

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.

Apply Early

Capture2, Inc.

NLP Data Lead

San Diego, CA

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 ...

Forhyre

Prompt Engineers

San Francisco, 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.

Apply Early

PROPRIUS

AI Research Engineer

San Francisco, CA

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

Quantifind

Data Scientist

Palo Alto, CA

You want to apply your expertise in statistics and computer science using Quantifind's state-of-the-art infrastructure to solve problems in Natural Language Processing, such as Entity Resolution ...

Xforia, Inc.

Staff ML Engineer

San Jose, CA · On-site

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

Quantifind

Data Scientist

Palo Alto, CA · On-site

You want to apply your expertise in statistics and computer science using Quantifind's state-of-the-art infrastructure to solve problems in Natural Language Processing, such as Entity Resolution ...

DabKick

Speech Recognition Engineer

San Jose, CA

Experience in building speech recognition and natural language processing systems (e.g., commercial speech products or government speech projects) * Solid Machine Learning background and familiar ...

DabKick

Speech Recognition Engineer

San Jose, CA · On-site

Experience in building speech recognition and natural language processing systems (e.g., commercial speech products or government speech projects) * Solid Machine Learning background and familiar ...

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All JobsNatural Language Processing JobsNatural Language Processing Jobs in California

Natural Language Processing information

See California salary details

$13

$25

$47

How much do natural language processing jobs pay per hour?

As of Jul 5, 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.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

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.

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.

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 data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

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 such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
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 6% Internship, 78% Full Time, 8% Part Time, and 8% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $52,292 per year, or $25.1 per hour.
Data Labeling Associate

Data Labeling Associate

Welocalize, Inc.

New York, NY

$17.50 - $22.75/hr

Full-time

Posted 7 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

345th of 437 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

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Thank you!

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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:

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