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Natural Language Processing Researcher Jobs (NOW HIRING)

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics. * Demonstrated success in using or (and preferably ...

Overture Partners

Prompt Engineer- Pipeline

We are dedicated to advancing the field of AI through innovative solutions and cutting-edge research. Our team values creativity, expertise in natural language processing, and a passion for ...

Cypress HCM

LLM Research Engineer

Mountain View, CA

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance. * Explore advancements in transformer architectures, multi-modal ...

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Natural Language Processing Researcher information

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$30K

$113.1K

$164.5K

How much do natural language processing researcher jobs pay per year?

As of Sep 10, 2026, the average yearly pay for natural language processing researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a natural language processing researcher do?

A Natural Language Processing (NLP) Researcher studies and develops algorithms and models that enable computers to understand, interpret, and generate human language. Their work involves designing experiments, analyzing linguistic data, and applying machine learning techniques to improve language-based technologies such as chatbots, translation systems, and speech recognition. These researchers often collaborate with engineers and data scientists to bring innovative language solutions to real-world applications.

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

To thrive as a Natural Language Processing (NLP) Researcher, you need a strong background in computer science, linguistics, and machine learning, typically supported by an advanced degree such as a Master's or Ph.D. in a relevant field. Proficiency with programming languages like Python, NLP libraries (e.g., NLTK, spaCy, Hugging Face), and experience with deep learning frameworks such as TensorFlow or PyTorch are essential. Strong analytical thinking, creativity, and effective collaboration skills help researchers develop innovative solutions and work in multidisciplinary teams. These skills ensure the ability to design, implement, and evaluate state-of-the-art NLP models and advance the field in both academic and industry settings.

What are some common challenges faced by natural language processing researchers when working with real-world datasets?

Natural Language Processing Researchers often encounter challenges such as dealing with noisy, unstructured, or imbalanced data, which can significantly impact model performance. Additionally, ensuring that models generalize well across different domains and languages can be complex, especially when annotated data is scarce. Researchers must also address ethical considerations, such as bias and fairness in language models, and frequently collaborate with data engineers, domain experts, and software developers to refine data pipelines and deploy solutions effectively.

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

AspectNatural Language Processing ResearcherData Scientist
CredentialsAdvanced degrees in Computer Science, AI, or related fields; knowledge of NLP frameworksDegree in Data Science, Statistics, or related fields; programming skills in Python/R
Work EnvironmentResearch labs, academia, AI-focused companiesBusiness environments, tech companies, consulting firms
Industry UsageDeveloping NLP models, language understanding, research publicationsData analysis, predictive modeling, business insights

While both roles involve data analysis and programming, Natural Language Processing Researchers focus specifically on language models and NLP innovations, often in research settings. Data Scientists work broadly across data analysis and modeling for business solutions. The roles overlap in programming skills and data handling but differ in their primary focus and application areas.

What are popular job titles related to Natural Language Processing Researcher jobs?

For Natural Language Processing Researcher jobs, the most frequently searched job titles are:

ML Postdoc Researcher - LLMs & Generative AI

Remote

Truveta
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees
Learn more about Truvetaexternal

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Truveta is the world’s first health provider led data platform with a mission to enable researchers to find cures faster and empower clinicians. They are seeking a highly motivated Machine Learning Postdoctoral Researcher to contribute to innovative projects in Large Language Modeling and clinical data analysis, collaborating closely with multiple teams to develop novel algorithms and methodologies.
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.

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