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Natural Language Processing Postdoc Jobs (NOW HIRING)

AIToolboard

$150 - $200/hr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist - Natural Language Processing Full-time About the Role Our client, a cutting-edge technology firm at the ...

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

The Postdoctoral Research Associate will develop new computational methods in knowledge-grounded artificial intelligence, systems modeling, natural language processing, and data harmonization, with ...

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Natural Language Processing Postdoc information

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How much do natural language processing postdoc jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for natural language processing postdoc in the United States is $25.04, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What is a natural language processing postdoc?

A Natural Language Processing (NLP) Postdoc is a researcher who has completed their PhD and is working on advanced projects related to the computational analysis and understanding of human language. These positions are typically temporary research appointments at universities or research institutions, where postdocs contribute to ongoing NLP research, publish papers, and collaborate with other scientists. The work may involve developing new algorithms, improving language models, or applying NLP techniques to real-world problems such as translation, sentiment analysis, or conversational AI. Postdocs in NLP often help bridge the gap between fundamental research and practical applications, preparing them for careers in academia or industry.

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

To excel as a Natural Language Processing Postdoc, you typically need a PhD in computer science, computational linguistics, or a related field, with deep expertise in machine learning and NLP algorithms. Proficiency in programming languages such as Python, experience with libraries like TensorFlow or PyTorch, and familiarity with large language models and research tools are crucial. Strong analytical thinking, effective communication, and collaboration skills help you share findings and work within multidisciplinary research teams. These abilities are essential for advancing innovative research, publishing impactful work, and contributing to the progress of NLP technologies.

What are some typical challenges faced by a natural language processing postdoc in academic research settings?

Natural Language Processing (NLP) Postdocs often encounter challenges such as balancing independent research goals with collaborative project requirements, managing large and complex datasets, and keeping up with the rapid pace of advancements in the field. Additionally, postdocs may face pressure to publish high-impact papers while also mentoring students and contributing to grant proposals. Navigating these demands requires strong project management skills, effective communication with interdisciplinary teams, and continuous learning to stay current with state-of-the-art NLP methods.

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

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

Infographic showing various Natural Language Processing Postdoc 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 $52,082 per year, or $25 per hour.

Natural Language Processing Engineer

Washington, DC • On-site

Beyond SOF
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Beyond SOFexternal

Full-time

Re-posted 3 days ago

Job description

Role Summary:
The Natural Language Processing
(NLP) Engineer is responsible for
developing and implementing NLP
solutions to support the
company's projects.
Main Responsibilities and duties:
Develop and implement NLP
solutions.
Collaborate with the engineering
team to integrate NLP solutions
into projects.
Conduct research on NLP
technologies and trends.
Stay updated on the latest NLP
technologies and trends.
Develop and implement
quantum-enhanced NLP
solutions. Collaborate with
quantum engineers to integrate
quantum technologies into NLP
projects.

Apply