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Natural Language Processing Jobs in New York (NOW HIRING)

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 ...

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 ...

Forhyre

Prompt Engineers

New York, NY

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Welocalize, Inc.

Data Labeling Associate

New York, NY · On-site

$17.50 - $22.75/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

Smarsh

Lead Data Scientist

New York, NY

You'll work on highly specialized problems at the intersection of natural language processing , communications intelligence , financial supervision , and regulatory compliance , where unstructured ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

You'll work on highly specialized problems at the intersection of natural language processing , communications intelligence , financial supervision , and regulatory compliance , where unstructured ...

Forhyre

Prompt Engineers

New York, NY

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

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Natural Language Processing information

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$15

$27

$52

How much do natural language processing jobs pay per hour?

As of Aug 8, 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.

What are the key skills and qualifications needed to thrive in natural language processing, 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?

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?

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 strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

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 information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.
What are the most commonly searched types of Natural Language Processing jobs in New York? The most popular types of Natural Language Processing jobs in New York are:
What are popular job titles related to Natural Language Processing jobs in New York? For Natural Language Processing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in New York look for? The top searched job categories for Natural Language Processing jobs in New York are:
What cities in New York are hiring for Natural Language Processing jobs? Cities in New York with the most Natural Language Processing job openings:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in New York as of August 2026, with employment types broken down into 3% Internship, 68% Full Time, and 29% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $57,969 per year, or $27.9 per hour.

Applied AI Engineer

SOCOTEC

Manhattan, NY • On-site

Full-time

Re-posted 1 hour ago

Job description

Company Description
SOCOTEC is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects
SOCOTEC's combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth.
SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work®.
Job Description
As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and deploying AI models that enhance our chatbot program and other AI-driven solutions. You will collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to integrate advanced AI technologies that address real-world challenges within our industry. You will focus on building scalable, efficient, and accurate machine learning pipelines while staying at the forefront of the latest AI advancements.
  • Developing AI Models: 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 Teams: Work closely with product managers, data scientists, and software engineers to translate business requirements into intelligent AI-driven solutions.
  • Building and Maintaining AI Pipelines: Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance.
  • Optimizing Model Performance: Continuously fine-tune and improve the accuracy, speed, and robustness of AI models, leveraging techniques like hyperparameter tuning and model optimization.
  • Implementing Best Practices in AI/ML Development: Ensure the reliability and quality of AI models by following best practices for training, testing, and model evaluation.
  • Integrating AI Solutions: Work closely with backend engineers to integrate AI models into production environments using tools like LangChain and cloud services.
  • Staying Updated with AI/ML Trends: Keep up with the latest developments in AI, machine learning, and natural language processing, applying new techniques to improve our technology stack.
  • Documentation: Provide detailed documentation of AI workflows, models, and algorithms to facilitate collaboration and ensure long-term maintainability.
  • Perform all duties as assigned by your manager

Qualifications
  • Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face.
  • Strong understanding of natural language processing (NLP) and experience building chatbot or conversational AI systems.
  • Hands-on experience with AI model development, including data preprocessing, model training, evaluation, and deployment.
  • Familiarity with AI/ML tools like Jupyter Notebook and cloud platforms such as AWS, GCP, or Azure.
  • Experience with version control systems (e.g., Git, GitHub) and agile development methodologies.
  • Ability to optimize model performance and scale AI solutions for production use.
  • Experience with frameworks like LangChain for building conversational AI workflows.
  • The ideal candidate should have at least 4-7 years of experience

Preferred Qualifications
  • Familiarity with reinforcement learning, transfer learning, or other advanced AI techniques.
  • Knowledge of model monitoring, A/B testing, and continuous improvement strategies for AI systems.
  • Experience with containerization tools like Docker for deploying AI solutions.
  • Passion for exploring and implementing the latest advancements in AI technology.

We are seeking a creative and detail-oriented individual who is passionate about building and deploying AI-driven solutions. If you thrive in a collaborative environment and are excited about shaping the future of AI at SOCOTEC, we encourage you to apply.
Additional Information
For more information, please visit www.socotec.us
Job Type: Full-Time, onsite 4 days a week
Salary: $157-200k
Applicants must be legally authorized to work in the United States without the need for current or future employer sponsorship.
All your information will be kept confidential according to EEO guidelines.
SOCOTEC is an Equal Opportunity Employer.

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