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Remote Natural Language Processing Engineer Jobs in California

Hitachi

AI and Data Engineer

Santa Clara, CA · On-site +1

$29/hr

Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No AI and Data ... Extensive experience in natural language processing, text generation, and prompt engineering, with ...

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All JobsNatural Language Processing Engineer JobsRemote Natural Language Processing Engineer JobsRemote Natural Language Processing Engineer Jobs in California

Remote Natural Language Processing Engineer information

See California salary details

$48.9K

$90.8K

$140.6K

How much do remote natural language processing engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote natural language processing engineer in California is $90,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $101,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Natural Language Processing Engineer, and why are they important?

To succeed as a Remote Natural Language Processing Engineer, you need strong programming skills in Python, a solid understanding of machine learning and linguistics, and a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), cloud platforms, and version control systems is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this position. These abilities enable engineers to build robust language models, collaborate efficiently across distributed teams, and deliver impactful NLP solutions.

What is the difference between Remote Natural Language Processing Engineer vs Remote Data Scientist?

AspectRemote Natural Language Processing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in CS, NLP, or related; experience with NLP frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentFocus on NLP projects, language models, text analysisBroader data analysis, predictive modeling, data visualization
Industry UsageTech, AI, research, companies developing language-based productsFinance, healthcare, tech, consulting, across various sectors

Remote Natural Language Processing Engineers specialize in language-specific AI models and text analysis, while Remote Data Scientists work on broader data analysis and predictive modeling. Both roles require strong technical skills and often overlap in data handling, but NLP Engineers focus more on language data and models.

What does a Remote Natural Language Processing Engineer do?

A Remote Natural Language Processing (NLP) Engineer specializes in developing systems that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and chatbot creation, often utilizing machine learning and deep learning techniques. Working remotely, they collaborate with data scientists, software engineers, and product teams to build and optimize NLP models for various applications. Their work helps improve the way machines interact with people through written and spoken language.

How do Remote Natural Language Processing Engineers typically collaborate with other team members across different time zones?

Remote Natural Language Processing Engineers often work with cross-functional teams, including data scientists, software developers, and product managers, who may be distributed globally. Effective collaboration usually involves leveraging tools like Slack, Jira, and video conferencing to maintain clear communication and coordinate project updates. Flexibility in scheduling and strong documentation skills are important to ensure everyone stays aligned despite time zone differences. Regular virtual meetings and asynchronous communication help address challenges and keep projects on track.
What are the most commonly searched types of Natural Language Processing Engineer jobs in California? The most popular types of Natural Language Processing Engineer jobs in California are:
What are popular job titles related to Remote Natural Language Processing Engineer jobs in California? For Remote Natural Language Processing Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Natural Language Processing Engineer jobs in California look for? The top searched job categories for Remote Natural Language Processing Engineer jobs in California are:
What cities in California are hiring for Remote Natural Language Processing Engineer jobs? Cities in California with the most Remote Natural Language Processing Engineer job openings:
Remote Natural Language Processing Engineer jobs near you
Infographic showing various Remote Natural Language Processing Engineer job openings in California as of June 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $90,813 per year, or $43.7 per hour.
Agentic Judge (Real Estate License)

Agentic Judge (Real Estate License)

Aquent

San Francisco, CA • On-site, Remote

$29.37 - $32.63/hr

Temporary

Posted 12 days ago

Job description

Placement Type:
Temporary
Salary:
$29.37-32.63 Hourly
Start Date:
Jun 9, 2026
Our client, a tech real estate company, is looking for licensed real estate agents in San Francisco, CA, to provide part-time work as Agentic Judges
This is a fully remote role, but candidates must be located in the San Francisco, CA area.
This is a part-time role with flexible hours. Work will be assigned on an as-needed basis and can be completed in the candidates' free time.
Must have an active Real Estate License, or previously been licensed with experience selling real estate in San Francisco.
Our real estate tech client is looking for an Agentic Judge. The Judge plays a crucial role in fine-tuning and calibrating AI/ML processes that handle verbal interactions between home buyers and real estate agents for example. Works directly with experienced Operations Managers, ML Engineers, Data Scientists, Software Developers, and Natural Language experts.
  • Responsible for ensuring the quality of a number of possible elements related to our projects.
  • Projects such as reviewing the accuracy and humanlike traits of automated chatbot answers, classifying elements of a conversation annotated automatically, or reviewing search results based on an understanding of complex user queries.
  • Plays an essential role in defining clear guidelines which may be used by non-native English speakers.
  • Attention to detail and natural curiosity for language subtleties is essential for the long term scaling of our solutions.

Major responsibilities:
  • Review and/or evaluate annotated data to ensure it meets quality standards and project requirements.
  • Provide feedback and guidance to engineers to improve accuracy.
  • Collaborate with engineers and data scientists to optimize model performance based on annotated data.
  • Develop and maintain annotation guidelines and best practices.
  • Provide training data to engineers to establish Ground Truth data.
  • Provide input/examples on Training content.
  • Identify gaps in training content and suggest improvements.

MINIMUM QUALIFICATIONS
  • Minimum of 3+ years of active experience as a licensed real estate agent or broker, demonstrating a deep understanding of the real estate transaction process.
  • Excellent attention to detail and analytical skills.
  • Ability to work effectively in a collaborative team environment.

PREFERRED QUALIFICATIONS
  • Demonstrated deep interest and curiosity in Artificial Intelligence, including experience reviewing or evaluating AI-generated content,
  • Experience with copywriting, User Experience authoring, and content development around voice and brand guidelines.
  • Experience with Machine-generated Speech evaluation, Search Results Evaluation, Search Query Categorization
  • Experience following or managing complex processes, and working both independently and with a team to achieve a goal.
  • Experience with tools and software used for Natural Language Processing annotation is a plus.
  • Experience working on Natural Language Processing projects with a focus on transcriptions, localization, and translation.
  • Bachelor's degree in English, Linguistics or a related field.

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