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Nlp Jobs (NOW HIRING)

Point72

NLP Engineer

New York, NY · On-site

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 ...

Nutanix

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 ...

Point72

NLP Engineer

New York, NY

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 ...

Capture2, Inc.

NLP Data Lead

San Diego, CA

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 ...

Point72

NLP / AI Engineer

New York, NY

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 ...

Point72

NLP / AI Engineer

New York, NY · On-site

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 ...

Roberts Recruiting

Senior NLP Engineer

Boston, MA

$113K - $156K/yr

Senior Natural Language Processing (NLP) Engineer Would you like to contribute creatively to a large, meaningful mission? We are in the processing of transforming healthcare. In particular, we are ...

Point72

NLP Engineer

New York, NY

DESCRIPTION We are looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the ...

Point72

NLP Engineer

New York, NY · On-site

DESCRIPTION We are looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the ...

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a wide variety of mission-critical applications around the world and an innovative SAAS API? Do you ...

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

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 ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

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 ...

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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.

JAVA NLP Engineer

Texas State Library and Archives Commision

Remote

$53 - $72.75/hr

Full-time

Posted 2 days ago

Job description

As an NLP Engineer, You will extract, interpret, and synthesize an extremely diverse set of diagnostic lab data - with the goal to standardize this data, making it machine readable, interoperable, and more discoverable and accessible. Successful candidates will have a strong understanding of NLP techniques and hands on experience with Java
Responsibilities
• Designing and developing NLP applications for medical entity extraction and text mining
• Design Database to store NLP entities and relationship
• Using effective text representation techniques and classification algorithms
• Training and evaluating models
• Design end to end java applications
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in NLP tasks
• Remain updated in the rapidly changing field of machine learning
Requirements
• Clinical NLP experience (cTakes, UIMA)
• Strong Java development experience
• Deep understanding of health care domain
• Familiarity with Ontology tools and technologies
• Proven experience as an NLP Engineer or similar role/Track record in NLP/NLU and related technologies
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
• Ability to effectively design software architecture
• Knowledge of Python, SQL
• Ability to write robust and testable code
• Experience with machine learning frameworks (like Keras, BERT or opennlp) and libraries (like scikit-learn)
• An analytical mind with problem-solving abilities

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