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Remote Natural Language Processing Engineer Jobs

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms ... Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem ...

NET Engineer to apply their expertise in developing solutions for next-generation AI systems. The ... automation, natural language processing (NLP), computer vision, and related technologies -- to ...

NET Engineer to apply their expertise in developing solutions for next-generation AI systems. The ... automation, natural language processing (NLP), computer vision, and related technologies -- to ...

Python (machine learning, Natural Language Processing, string manipulation) You care about ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

NET Engineer to apply their expertise in developing solutions for next-generation AI systems. The ... automation, natural language processing (NLP), computer vision, and related technologies -- to ...

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks ...

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks ...

Lead Research Engineer

New York, NY · On-site +1

$112K - $147K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks ...

... Developer to join their customer's team in a high-impact, remote role. The successful candidate ... automation, natural language processing (NLP), computer vision, and related technologies -- to ...

... in remote, distributed teams. Preferred : • Experience mentoring or coaching other developers ... automation, natural language processing (NLP), computer vision, and related technologies -- to ...

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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 Jul 14, 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 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.
More about Remote Natural Language Processing Engineer jobs
What cities are hiring for Remote Natural Language Processing Engineer jobs? Cities with the most Remote Natural Language Processing Engineer job openings:
What are the most commonly searched types of Natural Language Processing Engineer jobs? The most popular types of Natural Language Processing Engineer jobs are:
What states have the most Remote Natural Language Processing Engineer jobs? States with the most job openings for Remote Natural Language Processing Engineer jobs include:
What job categories do people searching Remote Natural Language Processing Engineer jobs look for? The top searched job categories for Remote Natural Language Processing Engineer jobs are:
Infographic showing various Remote Natural Language Processing Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.
ML Postdoc Researcher - LLMs & Generative AI

ML Postdoc Researcher - LLMs & Generative AI

Truveta

Remote

Full-time

Re-posted 3 hours ago


Job description

Job Summary:
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. They are seeking a highly motivated and talented Machine Learning Postdoctoral Researcher to join their AI research team and contribute to innovative projects in the field of Large Language Modeling and clinical data analysis.
Responsibilities:
• Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
• Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
• Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
• Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
• Deliver the next generation of innovation in trustworthy healthcare.
Qualifications:
Required:
• Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
• Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
• Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
• Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
• Strong communication skills and the ability to work effectively in a collaborative research environment
Preferred:
• Experience with distributed parallel training, large-scale multi-modal foundation and generative models
• Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
• Familiarity with training multi-modal foundation models
• Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
• A track record of publications and contributions to the machine learning and natural language processing communities
Company:
Truveta is a healthcare data platform that provides EHR data for scientific research. Founded in 2020, the company is headquartered in Bellevue, USA, with a team of 201-500 employees. The company is currently Growth Stage.