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Natural Language Processing Postdoc Jobs (NOW HIRING)

Ai2

Young Investigator, FlexOlmo

Berkeley, CA · On-site

$57K - $57K/yr

The Allen Institute for AI (Ai2) is seeking a talented and motivated Postdoctoral Young ... in natural language processing. Responsibilities : • Define and lead a high-impact research ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

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 ...

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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.

Artificial Intelligence & Natural Language Processing Research Scientist

Washington, DC • On-site

Howard University
See more jobs at Howard Universityexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Howard University rating

8.1

Company rating: 8.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

172nd of 633 rated colleges and universities

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
JOB PURPOSE:
Employee will spearhead innovative projects, mentor emerging talent, and push the boundaries of technology in areas such as natural language processing and artificial intelligence.
SUPERVISORY AUTHORITY:
None
NATURE AND SCOPE:
Internal contacts include RITA HQ Team and the entire Howard University community. External contacts include as directed.
PRINCIPAL ACCOUNTABILITIES:
  • Lead AI research initiatives from conception to implementation.
  • Develop cutting-edge AI systems, tailoring solutions to complex research queries.
  • Analyze research data critically, translating findings into actionable insights.
  • Collaborate across disciplines, integrating diverse expertise into your work.
  • Disseminate knowledge through scholarly papers and compelling presentations to stakeholders.
  • Remain at the forefront of AI/NLP advancements, integrating new technologies and methodologies.
  • Design and validate NLP techniques, contributing to the broader field with innovative solutions.
  • Engage in developing and evaluating human-machine interfaces and systems integration, enhancing human performance through technology.

CORE COMPETENCIES:
  • Mastery of programming languages (Python, Java, C++, C, R) and command-line scripting.
  • Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML).
  • Exceptional project management, communication, and collaborative skills.
  • Experience in high-performance computing, secure network AI development, and simulation tools.
  • Proficiency in UI/UX development.

MINIMUM REQUIREMENTS:
Bachelor's Degree or higher in Computer Engineering/Science, Engineering, or IT; equivalent experience considered. 5+ years in machine learning and data science; advanced degrees may offset experience requirements. An advanced degree (Postgraduate or Ph.D.) in a relevant field is preferred. A history of designing algorithms in AI/NLP or related fields. Willing and able to travel and obtain/maintain a US Top Secret/SCI level security clearance. U.S. citizenship is required due to federal export control and security compliance requirements.
Compliance Salary Range Disclosure
95,000-105,000

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