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Remote Natural Language Processing Engineer Jobs in California

LinkedIn

Senior AI Engineer

Sunnyvale, CA · On-site +1

$139K - $229K/yr

LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who ... natural language processing Preferred Qualifications * 4+ years of relevant machine learning ...

UnitedHealth Group

NLP Engineer

San Diego, CA · Remote

$72K - $130K/yr

The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr ...

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All 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 Jul 3, 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.
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Remote Natural Language Processing Engineer jobs near you
Google DialogFlow Engineer (Python)

Google DialogFlow Engineer (Python)

Miratech

California City, CA • On-site, Remote

Full-time

Medical

Posted 9 days ago

Job description

Company Description
Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.
Job Description
Join the Bot Development team to work on the implementation of a new bot solution across various cloud platforms. Your main responsibility will be to develop a bot using Google Cloud Platform technologies, focusing on integrating the LLM (playbook) feature in Dialogflow CX, in addition to standard Dialogflow CX functionalities.
Responsibilities:
  • Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, and Dialogflow CX.
  • Craft clean, efficient, and maintainable code adhering to industry best practices and standards.
  • Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem.
  • Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations.
  • Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs.
  • Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions.
  • Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement.
  • Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development.

Qualifications
  • 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework.
  • Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI.
  • Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities.
  • Solid understanding of Google as a Software-as-a-Service platform.
  • Proven troubleshooting and analytical skills in complex, distributed environments.
  • Familiarity with SQL and experience working with relational databases.
  • Experience integrating web services into applications.
  • Proficient in Agile and Scrum development methodologies.
  • Bachelor's degree in a technology-related field or equivalent experience.

Nice to have:
  • Experience with programming languages such as JavaScript, Python, or Node.js.
  • Familiarity with automated testing practices.

We offer:
  • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
  • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
  • Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
  • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
  • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
  • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
  • Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

*Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.
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