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Natural Language Processing Jobs in New York (NOW HIRING)

Socotec

Applied AI Engineer

Manhattan, NY

Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems. * Collaborating with Cross-Functional ...

SOCOTEC

Applied AI Engineer

Manhattan, NY · On-site

Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems. * Collaborating with Cross-Functional ...

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$15

$27

$52

How much do natural language processing jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for natural language processing in New York is $27.87, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $32.36 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is Natural Language Processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
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Natural Language Processing jobs near you

Applied AI ML-Executive Director

JPMorganChase

Manhattan, NY • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
JPMorganChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. In this role, you’ll apply strong technical judgment to design, build, and scale cutting-edge Natural Language Processing (NLP) solutions that enhance customer experiences and support operational workflows.
Responsibilities:
• Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
• Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
• Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
• Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.
Qualifications:
Required:
• PhD degree in Computer Science, Data Science or similar with 10+ years of experience Or Master’s degree in Computer Science, Data Science or similar with 15+ years experience with work experience in LLM/NLP, Generative AI, Agentic AI and search.
• Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
• Advanced demonstratable programming skills on more than 1 programming language is required such as Spark, Python, Scala, Java.
• Can learn quickly programming in another programming language and seamlessly. Full understanding of and hands-on programming with data structures, algorithms, operating systems, compilers, databases, and systems.
Preferred:
• Undergraduate and master’s degree in computer science with concentration in NLP or Search experience.
• Experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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