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Nlp Jobs (NOW HIRING)

NLP Engineer

San Diego, CA · Remote

$72K - $130K/yr

The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects. The successful ...

NLP Engineer

San Diego, CA · On-site

$72K - $130K/yr

The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects. The successful ...

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc. We ...

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc. We ...

NLP Architect

San Jose, CA · On-site

$240K - $480K/yr

The Opportunity Are you a highly skilled NLP Architect with a strong background in natural language processing and machine learning, looking to push the boundaries of AI-driven data exploration? If ...

The Principal NLP Scientist is a senior technical leader responsible for designing, researching, and improving advanced Natural Language Processing and Large Language Model capabilities for ...

New

Role Objective Capture2 is looking for an experienced Natural Language Processing (NLP) Data Lead to join our engineering team, and to act as a leader for the information processing and extraction ...

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source ...

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source ...

Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key ...

Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key ...

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 ...

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Nlp information

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How much do nlp jobs pay per year?

As of Jul 19, 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.
More about Nlp jobs
What cities are hiring for Nlp jobs? Cities with the most Nlp job openings:
What are the most commonly searched types of Nlp jobs? The most popular types of Nlp jobs are:
What states have the most Nlp jobs? States with the most job openings for Nlp jobs include:
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.
NLP Engineer

$72K - $130K/yr

Full-time

Retirement

Posted 19 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. 

The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr NLP Engineer works closely with other NLP engineers, NLP developers, software engineers, and subject matter experts on current company technologies and forward-looking projects.

The successful candidate will have a strong background in NLP and AI, with an emphasis on text, information retrieval, information extraction, and/or associated principles of knowledge representation and ontological design.  The successful candidate will be comfortable contributing to research and design in addition to supporting team members in the ongoing maintenance of existing systems. Strong technical skills are required, as the successful candidate must be able to deliver solutions for use in a production environment.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary responsibilities include the enhancement of existing company NLP technologies and extension of those systems to new applications.  Emphasis is placed on the augmentation of various clinical knowledge resources (lexicons, nomenclatures, hierarchies, ontologies, and rule systems) underlying the core NLP and AI modules. Emphasis is also placed on evaluation of the performance of those components on clinical documentation at scale in production environments. Work includes the generation and interpretation of domain/solution analytics, and, in collaboration with engineering, enhancement of the underlying NLP modules and functionality. Primary responsibilities also include direct support of team members in the maintenance of company NLP systems for production environments and resolution of internal and external customer issues.  Work will involve all aspects of software design and development from system requirements definition to implementation, integration and testing.   

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 4 years of related professional work experience - significant academic NLP development experience will be considered for strong applicants with advanced degree
  • 4 years of experience in linguistic processes
  • 3 years of experience in algorithms and techniques within a computational domain with emphasis on text processing
  • 3 years of experience with natural language processing or formal linguistics: morphology, syntax and semantics
  • 3 years of experience with at least 2 of the following: Python, Java, C#
  • 3 years of experience in SQL
  • 3 years of experience integrating Copilot with GitHub or similar AI-assisted development tools to improve productivity and code quality
  • 3 years of experience with modern software development and DevOps ecosystems, such as:
    • GitHub (version control, pull requests, code reviews)
    • CI/CD pipelines and automated build/deployment workflows
  • 3 years of experience working with integrated development environments and tools such as:
    • Eclipse, Visual Studio
    • Artifact repositories such as Artifactory/JFrog
  • 3 years of experience building, deploying, and maintaining containerized images in scalable production environments

Preferred Qualifications:

  • Degree in Linguistics, Computer Science, or other Computational discipline
  • Exposure to LLMs & prompting
  • Experience with ontologies
  • Experience in medical coding or medical terminology 
  • Graduate degree
  • Experience with modern AI development tools and applied AI engineering workflows

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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