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Nlp Jobs (NOW HIRING)

Conch Technologies Inc

AI/ML NLP Engineer

Phoenix, AZ · On-site

AI/ML NLP Engineer Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a week ) Duration: 12+ Months Contract Required Skills We are seeking experienced Software Engineers with ...

Jobgether

$80K - $110K/yr

Our partner is looking for a Senior NLP Engineer based in Netherlands. This role sits at the core of building next-generation AI systems that power large-scale social and conversational products used ...

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 ...

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 ...

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 ...

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How much do nlp jobs pay per year?

As of Jun 29, 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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like Chief AI Officer. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record in AI development and leadership. Compensation at this level reflects significant expertise, responsibility, and impact within a company or organization.

What job makes $10,000 a month without a degree?

In the field of natural language processing (NLP), high-paying roles such as freelance AI consultants or specialized data scientists can earn $10,000 or more per month without a formal degree, especially with strong skills in machine learning, programming, and relevant tools like Python and TensorFlow. Success in these roles often depends on experience, portfolio, and industry reputation rather than formal education alone.

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 can you do with NLP?

An NLP (Natural Language Processing) professional can develop systems that analyze, understand, and generate human language, enabling applications like chatbots, sentiment analysis, language translation, and information extraction. They often work with machine learning models, programming languages like Python, and NLP libraries such as NLTK or spaCy to build and optimize these tools.

Which 3 jobs will survive AI?

NLP specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, because their roles involve complex problem-solving, understanding language nuances, and ethical considerations that are difficult for AI to fully replicate. These jobs require specialized skills, critical thinking, and ongoing learning to adapt to evolving technologies.
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Nlp jobs near you
Infographic showing various Nlp job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
AI/ML NLP Engineer

AI/ML NLP Engineer

Conch Technologies Inc

Phoenix, AZ • On-site

Contractor

Posted 10 days ago

Key responsibilities

  • Design, develop, and support AI-powered contact center applications.

  • Build scalable APIs and microservices using Python or Java.

  • Integrate Five9 and Google CCAI/IVA solutions with enterprise systems.

Job description

Hi
 
Greetings from Conch Technologies
 
Position: AI/ML NLP Engineer
Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a week ) 
Duration: 12+ Months Contract 
Required Skills 

We are seeking experienced Software Engineers with strong expertise in Python or Java development and hands-on experience building AI-powered Contact Center solutions.

Must-Have Experience 
  • Strong development experience in Python and/or Java
  • Experience with API development and Microservices Architecture
  • Hands-on experience with AI/ML and Natural Language Processing (NLP)
  • Experience working with GitHub, GitHub Actions, and CI/CD pipelines
  • Experience with Five9 Contact Center Platform
  • Experience with contact center call routing and orchestration
  • Hands-on experience with:
    • Google Cloud Platform (GCP)
    • Google Contact Center AI (CCAI)
    • Google Intelligent Virtual Agent (IVA)
    • Voice Analytics and Conversational AI solutions
Preferred Experience 
  • Contact center technologies such as:
    • Avaya
    • Cisco Contact Center
    • LivePerson
  • Experience designing and supporting IVR and call-routing solutions
  • Experience integrating AI-driven voice and chat platforms into enterprise environments
Key Responsibilities 
  • Design, develop, and support AI-powered contact center applications
  • Build scalable APIs and microservices using Python or Java
  • Implement NLP, AI/ML, and conversational AI capabilities
  • Integrate Five9 and Google CCAI/IVA solutions with enterprise systems
  • Enhance call routing, voice analytics, and customer engagement experiences
  • Support DevOps processes utilizing GitHub, GitHub Actions, and CI/CD pipelines
Ideal Candidate 

A strong software engineer with deep Python/Java expertise and hands-on experience in Contact Center technologies, particularly Five9, Google CCAI/IVA, NLP, AI/ML, APIs, and Microservices.

With Regards,

Teja Kumar P
Desk: 380-999-9014
Email: teja.p@conchtech.com  
Web: www.conchtech.com