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Natural Language Processing Jobs (NOW HIRING)

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX · On-site

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Roberts Recruiting

Senior Data Scientist

Boston, MA

Develop natural language processing systems that help our customers understand their contracts * Work with a wide range of structured and unstructured data sources * Design and build customized ...

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX · On-site

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep beneficiaries healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse ...

Omni Inclusive

AI/ML Expert

Plano, TX · On-site

NLP (Natural Language Processing) Generative AI & Large Language Models (LLM) Python Skills Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business ...

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Natural Language Processing information

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$14

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How much do natural language processing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for natural language processing in the United States is $25.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.57 per hour, depending on experience, location, and employer.

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 kind of jobs use natural language processing?

Natural language processing (NLP) is used in roles such as NLP engineer, data scientist, machine learning engineer, and computational linguist. These jobs involve developing algorithms for language understanding, sentiment analysis, chatbots, and voice recognition systems, often requiring programming skills in Python and familiarity with NLP libraries like NLTK or spaCy.

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.

More about Natural Language Processing jobs
What cities are hiring for Natural Language Processing jobs? Cities with the most Natural Language Processing job openings:
What are the most commonly searched types of Natural Language Processing jobs? The most popular types of Natural Language Processing jobs are:
What states have the most Natural Language Processing jobs? States with the most job openings for Natural Language Processing jobs include:
What job categories do people searching Natural Language Processing jobs look for? The top searched job categories for Natural Language Processing jobs are:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $52,986 per year, or $25.5 per hour.
Gen AI Engineer -McKinney, TX

Gen AI Engineer -McKinney, TX

Photon

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

Job Description
Responsibilities
  • Conduct extensive research to identify and curate relevant data sources for prompt development.
  • Analyze, design, develop, and refine diverse prompts tailored to specific AI tasks and applications.
  • Ensure the prompts are intuitive for a productive conversation to elicit desired responses and achieve outcomes.
  • Optimize AI prompt generation process to enhance overall system performance.
  • Integrate prompt designs into natural language processing (NLP) models.
  • Ensure seamless integration of prompt engineering strategies into existing AI systems.
  • Develop and maintain RESTful APIs using Python and relevant frameworks (e.g., Django, Flask).
  • Design, develop, and maintain user interfaces using React and related technologies (e.g., Redux, Next.js).
  • Conduct thorough evaluations of prompt effectiveness through data analysis and user feedback.
  • Iterate on prompt designs based on performance metrics, aiming for continual improvement in conversational capabilities.
  • Develop and maintain quantitative key performance indicators to evaluate the effectiveness of AI prompts. Draft and distribute reports on prompt performance to identify areas for improvement.
  • Work closely with UX/UI designers, product managers, and other stakeholders to align prompt design with user experience goals and overall project objectives.
  • Stay ahead of AI advancements, natural language processing, and machine learning to apply to our business objectives proactively.
  • Document prompt design strategies, methodologies, and outcomes for internal reference and knowledge sharing.
  • Communicate effectively with team members and stakeholders, presenting findings and recommendations related to prompt engineering.
  • Collaborate with business stakeholders, product team, and developers to understand use cases, project requirements, and objectives.
  • Collaborate with content creators, product teams, and data scientists to ensure prompt accuracy and alignment with company goals and user needs.

Requirements
  • Bachelor's degree, preferred in computer science, engineering, or a related field. Master's degree preferred.
  • 3+ years of experience in software development with Proficiency in programming languages such as Python, Java, or similar is essential for implementing and integrating prompt engineering solutions into existing AI systems.
  • 2+ years developing applications using AI, natural language processing, and speech recognition.
  • Experience with Python and at least one Python web framework (e.g., Django, Flask).
  • Experience with RESTful APIs and API integration.
  • Skills in data analysis and statistical methods are valuable for assessing the performance of prompts, analyzing user interactions, and making informed adjustments to enhance the overall system.
  • Comprehensive understanding of natural language processing techniques and tools, machine learning Principles, and AI-generated content development
  • Conversational AI experience: Any of the following would be good: Kore.AI, Google Dialog Flow, Amelia, Yellow.AI
  • Familiarity with popular conversational AI platforms and frameworks (e.g., TensorFlow, PyTorch, or Hugging Face Transformers) is beneficial for leveraging pre-trained models and integrating prompt engineering strategies effectively.
  • Proven work experience as a Prompt Engineer or similar role
  • High-level familiarity with architecture and operation of large language models
  • Exceptional verbal and written communication skills for effective prompt design and collaboration with users, engineers, and product teams
  • Experience in creative writing or content creation is a plus.

Compensation, Benefits and Duration
Minimum Compensation: USD 42,000
Maximum Compensation: USD 147,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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