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Nlp Jobs (NOW HIRING)

IPsoft

NLP R&D Scientist

New York, NY · On-site

Company Description As we continue to expand our artificial intelligence platform, Amelia, we are looking for NLP experts to join our development team. We need great scientists who also are great ...

Brilent

Senior NLP Scientist/Engineer

San Mateo, CA · On-site

... NLP processing, and machine learning Qualifications • Extensive experiences in NLP processing including POS tagging, syntactic/semantic analysis, ambiguity resolution, named entity recognition ...

TMS

NLP Architect (Security Architect

Houston, TX · On-site

NLP Architect (Security Architect) Location: Houston, TX (Hybrid) (1 week onsite every month. Look for Local to TX or Nearby candidates ) Role Type: 12 Month Contract Position Overview: We are ...

Machinify

Staff Data Scientist | NLP

$180K - $230K/yr

Design and train NLP models for tasks like classification, entity extraction, retrieval, summarization, and semantic search * Fine-tune and evaluate LLMs (open-source and API-based); build RAG ...

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen with a Secret Clearance. @Orchard LLC is anticipating a need for ...

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

$120K - $230K/yr

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen with a Secret Clearance. @Orchard LLC is anticipating a need for ...

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How much do nlp jobs pay per year?

As of Jul 20, 2026, the average yearly pay for nlp in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an NLP job?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What are the typical projects or tasks that an NLP specialist works on within a company?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

Is NLP a good career option?

NLP (Natural Language Processing) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. Careers in NLP typically require skills in machine learning, programming, and linguistics, and are in demand across industries such as tech, healthcare, and finance. It offers opportunities for research, development, and application of innovative language technologies.

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

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

What are the jobs in NLP?

Jobs in NLP include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, and Research Scientist, focusing on developing algorithms for language understanding, speech recognition, and text analysis. These positions often require skills in programming languages like Python, knowledge of NLP libraries such as NLTK or spaCy, and experience with machine learning frameworks like TensorFlow or PyTorch.

Does NLP pay well?

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

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.
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Nlp jobs near you
Infographic showing various Nlp job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Machine Learning Engineer in NLP (Contract) - Remote

Cloudacio

Manhattan, NY • Remote

Contractor

Re-posted 13 days ago

Job description

About Cloudacio

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to revolutionize how businesses leverage the cloud. Our core values revolve around relentless innovation, technical excellence, and a steadfast commitment to delivering cutting-edge cloud services. Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and innovate from anywhere in the world.


Role Overview

As a Machine Learning Engineer specializing in Natural Language Processing (NLP) at Cloudacio, you will develop and refine advanced solutions in language understanding, text generation, and semantic analysis. Working with Large Language Models (LLMs) and the latest NLP technologies, your role will be pivotal in project success and delivering client-focused AI solutions. Proficiency in English is essential for effective communication with clients. Availability for scheduled client meetings and responsiveness on Slack during EST business hours is required.

Key Responsibilities
  • Develop and implement NLP solutions with a focus on LLMs and semantic analysis.
  • Attend client meetings, offering pre-sales support and NLP-focused technical insights.
  • Responsiveness via Slack during EST business hours.
  • Engage in client-facing roles, translating business needs into robust NLP solutions.
  • Collaborate with cross-functional teams to integrate NLP technologies into broader AI solutions.
  • Stay updated with the latest NLP developments, enhancing our offerings continuously. 


Core Skills & Technologies

  • NLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e.g., GPT-4, Llama-2), RoBERTa, T5, ELECTRA, and BERT.
  • Deep Learning and Frameworks: Strong proficiency in TensorFlow and PyTorch for developing complex NLP models.
  • Data Handling: Skilled in data annotation and preprocessing for large NLP datasets.
  • Cloud Platforms: Familiarity with cloud environments like AWS, Azure, or GCP for deploying and managing NLP solutions.
  • Excellent English communication skills for client-facing roles and technical discussions.
  • Consulting Experience: Previous consulting or startup environment experience.
  • Entrepreneurial Spirit: Ability to independently handle customer interactions and lead projects.


What We Offer

  • Flexible work arrangements to accommodate project needs and personal preferences.
  • Growth potential in a dynamic environment focusing on AI and cloud technologies.
  • A culture that values innovation, communication, and proactive problem-solving.
  • Opportunity to work on innovative projects with significant real-world impact.
Employment Type: CONTRACTOR

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