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Natural Language Processing Jobs in Seattle, WA (NOW HIRING)

Amazon

Applied Scientist II, Amazon Search

Seattle, WA · On-site

... Vision, Natural Language Processing (NLP) or related applications PREFERRED QUALIFICATIONS - Experience in machine learning, data mining, information retrieval, statistics or natural language ...

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Natural Language Processing information

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$16

$29

$55

How much do natural language processing jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for natural language processing in Seattle, WA is $29.10, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $33.80 per hour, depending on experience, location, and employer.

What is a natural language processing?

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.

What are the key skills and qualifications needed to thrive in natural language processing, 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?

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.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are the most commonly searched types of Natural Language Processing jobs in Seattle, WA?

The most popular types of Natural Language Processing jobs in Seattle, WA are:

What are popular job titles related to Natural Language Processing jobs in Seattle, WA?

For Natural Language Processing jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Seattle, WA look for?

The top searched job categories for Natural Language Processing jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Natural Language Processing jobs?

Cities near Seattle, WA with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $60,536 per year, or $29.1 per hour.

Gen AI Developer

Tata Consultancy Service Limited

Seattle, WA • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

Must Have Technical/Functional Skills
• Experience in executing projects in Agile Framework
• Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
• Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.
• Proficiency in RAG (Retrieval-Augmented Generation) techniques.
• Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.
• Familiarity with evaluation metrics for RAG systems.
• Knowledge of transformer architectures and training techniques.
• Awareness of ethical considerations and bias mitigation strategies.
• Understanding of autonomous decision-making algorithms.
• Proficiency in programming language Python.
• Strong analytical and problem-solving skills.
Roles & Responsibilities
Qualifications:
• Bachelors or masters degree in computer science, data science or equivalent
• Develop and implement generative AI models using frameworks like TensorFlow and PyTorch.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines.
• Work on NLP tasks such as text classification, summarization, and conversational AI.
• Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas).
• Fine-tune and optimize transformer-based models and LLMs for specific use cases.
• Evaluate model performance using RAG and NLP evaluation metrics.
• Develop and integrate machine learning models into applications.
• Apply autonomous decision-making logic in AI-driven workflows where needed.
Generic Managerial Skills, If any
• Good to have Manufacturing domain understanding
• Excellent communication
• Team collaboration
• Documentation and knowledge sharing
Base Salary Range : $120,000 to $150,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Bene fits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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