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Remote Natural Language Processing Engineer Jobs

Overture Partners

Prompt Engineer- Pipeline

Our team values creativity, expertise in natural language processing, and a passion for developing intelligent and responsive AI systems. We are looking for a talented Prompt Engineer to join our ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ... Additionally, we embrace a remote-first culture that supports collaboration and flexibility ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ... Additionally, we embrace a remote-first culture that supports collaboration and flexibility ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

Design challenging, real-world machine learning and natural language processing tasks covering ... Feature Engineering and Model Optimization * Experience with industry-standard frameworks such as ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Apex Informatics

AI/ML Engineer

AI/ML Engineer Location: Remote Role Objective Support the implementation of artificial ... Key Responsibilities - Design and deliver solutions involving: • Natural Language Processing (NLP ...

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Remote Natural Language Processing Engineer information

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$49.5K

$92K

$142.5K

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

As of Aug 24, 2026, the average yearly pay for remote natural language processing engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote natural language processing engineer?

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.

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 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.

More about Remote Natural Language Processing Engineer jobs

What cities are hiring for Remote Natural Language Processing Engineer jobs?

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What are the most commonly searched types of Natural Language Processing Engineer jobs?

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What states have the most Remote Natural Language Processing Engineer jobs?

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Remote Natural Language Processing Engineer jobs near you
Infographic showing various Remote Natural Language Processing Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

Natural Language Processing Engineer- Pipeline

Overture Partners

Remote

Contractor

Re-posted 24 days ago

Job description

Our company is at the forefront of artificial intelligence, specializing in the development of cutting-edge natural language processing technologies. We are dedicated to advancing how machines understand and interact with human language, transforming communication and data analysis across various industries. We value innovation, precision, and a collaborative approach in our quest to develop intelligent NLP solutions.
We are looking for a skilled Natural Language Processing Engineer to join our team. This role involves developing and implementing NLP systems that can effectively interpret, analyze, and understand human language. The ideal candidate will have a deep understanding of NLP techniques and a passion for solving complex linguistic and computational challenges.
Key Responsibilities:
  • Design and develop NLP systems and applications.
  • Implement algorithms to process and analyze large amounts of natural language data.
  • Develop systems for text representation, semantic extraction, data retrieval, and natural language understanding.
  • Collaborate with cross-functional teams to integrate NLP capabilities into products and services.
  • Continuously update and maintain NLP models for accuracy and efficiency.
  • Conduct research and stay updated on the latest advancements in NLP.
  • Evaluate and refine NLP systems based on user feedback and performance metrics.
  • Document NLP processes and algorithms for knowledge sharing.

Qualifications:
  • Master's or Ph.D. in Computational Linguistics, Computer Science, AI, or related fields.
  • Proven experience as an NLP Engineer or similar role.
  • Strong programming skills in Python, Java, or similar languages.
  • Experience with NLP tools and frameworks (e.g., NLTK, SpaCy, TensorFlow).
  • Deep understanding of text representation techniques (e.g., n-grams, bag of words, sentiment analysis).
  • Familiarity with machine learning algorithms and concepts.
  • Excellent analytical and problem-solving skills.
  • Strong communication and teamwork abilities.
  • Experience with machine learning and deep learning approaches to NLP is advantageous.

Summary:
Develop systems capable of interpreting and analyzing human language, requiring a deep understanding of NLP techniques and a passion for tackling linguistic and computational challenges. Responsibilities include designing NLP systems, implementing algorithms for natural language data analysis, maintaining model accuracy, and collaborating with teams to integrate NLP into various products and services.
JOB-24368

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