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Nltk Jobs (NOW HIRING)

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key. * Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure ...

Suncap Technology

Required Skills

Mountain View, CA · On-site

Experience with Jupyter/COLAB using Python libraries such as Pandas, Sklearn, NLTK, Gensim * Interested in Text analytics, Natural Language processing, Classification and Clustering * Significant ...

Compunnel

VINOF 518 PYTHON DEVELOPER

Princeton, NJ · On-site

$52.75 - $72.50/hr

Understand the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Involved front-end development using ...

Compunnel

RAKOF 445 PYTHON DEVELOPER

Princeton, NJ · On-site

$52.75 - $72.50/hr

Understand the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Involved front-end development using ...

Red Hat, Inc.

Apply statistical theory, machine learning algorithms, NLP and Transformer-based architectures (NLTK, gensim, spaCy), and reinforcement learning frameworks (Gymnasium, Ray) to design and oversee the ...

Suncap Technology

Required Skills

Austin, TX · On-site

Experience with Jupyter/COLAB using Python libraries such as Pandas, Sklearn, NLTK, Gensim * Interested in Text analytics, Natural Language processing, Classification and Clustering * Significant ...

Ethereum Technologies LLC

Python Developer

Austin, TX · On-site

$49.75 - $68.50/hr

Experience with any or all of the following Python libraries NumPy, SciPy, Pandas, Polars, Plotly, dill, pycld2, SciKit-Learn, NLTK, Gensim, spaCy, iPython, pymongo, Gunicorn, nGinxAbility to quickly ...

Redhat

Data Scientist

Raleigh, NC · On-site +1

Apply statistical theory, machine learning algorithms, NLP and Transformer-based architectures (NLTK, gensim, spaCy), and reinforcement learning frameworks (Gymnasium, Ray) to design and oversee the ...

Ethereum Technologies LLC

$37 - $51/hr

Experience with any or all of the following Python libraries NumPy, SciPy, Pandas, Polars, Plotly, dill, pycld2, SciKit-Learn, NLTK, Gensim, spaCy, iPython, pymongo, Gunicorn, nGinxAbility to quickly ...

Marencor

Data Scientist with Python

Dallas, TX · On-site

Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful Soup * 1+ years of LLM experience building RAG systems at scale (10,000 ...

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Nltk information

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How much do nltk jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for nltk in the United States is $52.51, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $69.71 per hour, depending on experience, location, and employer.

What is NLTK?

NLTK, or Natural Language Toolkit, is a Python library used for working with human language data (text). It provides easy-to-use interfaces to over 50 corpora and lexical resources, along with various text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning. NLTK is widely used in research and teaching for natural language processing (NLP) tasks, making it a popular choice for prototyping and building text analysis applications. It's particularly valued for its comprehensive documentation and active community support.

What skills and qualifications are needed to work with NLTK?

To thrive as an NLP Engineer using NLTK, you need a solid background in computer science, strong programming skills in Python, and a good understanding of linguistics and natural language processing concepts. Familiarity with NLTK, other NLP libraries (like spaCy), and experience with machine learning frameworks and data processing tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you develop robust language models and collaborate with interdisciplinary teams. These skills are crucial for building accurate, efficient, and innovative NLP solutions that meet user and business needs.

What challenges do professionals face when working with NLTK?

Professionals using NLTK for natural language processing often encounter challenges such as handling large datasets efficiently, ensuring compatibility with diverse text formats, and integrating NLTK with other machine learning libraries. Additionally, because NLTK is primarily used for research and prototyping, deploying production-ready solutions may require additional effort in optimizing performance and scalability. Collaborating with data engineers and software developers is common to address these challenges and deliver robust NLP applications.

What is the difference between Nltk vs Text Analyst?

AspectNltkText Analyst
Required CredentialsKnowledge of Python, basic programming skillsDegree in linguistics, data analysis, or related field
Work EnvironmentProgramming, data processing, research projectsData interpretation, report writing, client interaction
Industry UsageNatural language processing, AI, machine learningMarket research, media analysis, content evaluation

While Nltk is a Python library used for natural language processing tasks, a Text Analyst applies various tools, including Nltk, to interpret and analyze textual data. Nltk provides the technical foundation, whereas a Text Analyst focuses on deriving insights from data using such tools.

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Nltk jobs near you
Infographic showing various Nltk job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 1% Part Time, and 6% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $109,227 per year, or $52.5 per hour.

AI Platform Developer

Herndon, VA • On-site

Staffingine LLC
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Staffingine LLCexternal

Contractor

Re-posted 26 days ago

Job description

Job Title: Sr. AI Platform Developer
Job Location: Herndon, VA
Job Type: Contract

Job Description:

  1. Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable.
  2. Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.
  3.  AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
  4. Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are crucial, along with knowledge of SQL and NoSQL databases.
  5.  Big Data Technologies: Familiarity with platforms like Apache Spark and
  6. OpenSearch is often necessary for handling large-scale data.
  7. Mathematics and Statistics: A strong foundation in linear algebra, calculus, probability, and statistics is fundamental.
  8. Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key.
  9. Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure) and
  10. MLOps principles is vital for deploying and managing AI models.