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Natural Language Processing Jobs in Idaho (NOW HIRING)

Artificial (AI) Engineer

Boise, ID · On-site

$99K - $118K/yr

... natural language processing, retrieval-augmented generation (RAG), or LLMs (e.g., OpenAI, Claude, Mistral) • Understanding of data pipelines, model deployment, and performance monitoring • ...

... natural language processing, retrieval-augmented generation (RAG), or LLMs (e.g., OpenAI, Claude, Mistral) • Understanding of data pipelines, model deployment, and performance monitoring • ...

... with natural language processing, retrieval-augmented generation (RAG), or LLMs (e.g., OpenAI, Claude, Mistral) Understanding of data pipelines, model deployment, and performance monitoring ...

Artificial (AI) Engineer

Boise, ID · On-site

$110 - $160/hr

Hands-on experience with natural language processing, retrieval-augmented generation (RAG), or LLMs (e.g., OpenAI, Claude, Mistral) * Understanding of data pipelines, model deployment, and ...

... with natural language processing, retrieval-augmented generation (RAG), or LLMs (e.g., OpenAI, Claude, Mistral) Understanding of data pipelines, model deployment, and performance monitoring ...

AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing, Physical Intelligence) Data & Analytics (Data Architecture, Data Engineering, Data Migration, Data ...

Our focused technology areas: • AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing, Physical Intelligence) • Data & Analytics (Data Architecture, Data ...

Our focused technology areas: • AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing, Physical Intelligence) • Data & Analytics (Data Architecture, Data ...

New

AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing, Physical Intelligence) Data & Analytics (Data Architecture, Data Engineering, Data Migration, Data ...

New

AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing, Physical Intelligence) Data & Analytics (Data Architecture, Data Engineering, Data Migration, Data ...

With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at ...

Our focused technology areas: • AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing, Physical Intelligence) • Data & Analytics (Data Architecture, Data ...

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Natural Language Processing information

See Idaho salary details

$13

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$45

How much do natural language processing jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for natural language processing in Idaho is $23.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $27.84 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 Idaho?

The most popular types of Natural Language Processing jobs in Idaho are:

What job categories do people searching Natural Language Processing jobs in Idaho look for?

The top searched job categories for Natural Language Processing jobs in Idaho are:

Infographic showing various Natural Language Processing job openings in Idaho 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 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $49,855 per year, or $24 per hour.

Artificial (AI) Engineer

Boise, ID • On-site

$99K - $118K/yr

Full-time

Re-posted 11 days ago


Job description

Job Summary:
VELOX Media is hiring an AI Developer to help design and implement intelligent systems that enhance internal operations and client performance visibility. This role involves collaborating with product engineers and data strategists to build tools that transform interactions with performance data, focusing on predictive models and natural language interfaces.
Responsibilities:
• Research, design, and deploy AI/ML models that drive value across client-facing and internal applications
• Build tools that support predictive analytics, natural language querying, and campaign automation
• Collaborate with product and engineering teams to integrate AI functionality into web platforms
• Integrate AI solutions with our PHP/Laravel backend and MySQL databases via REST APIs or microservices
• Write clean, scalable code for inference pipelines, model training, and testing environments
• Monitor model performance and retrain or refine when necessary
• Stay ahead of LLMs, vector DBs, and open-source innovations to enhance our AI roadmap
• Contribute to a long-term AI strategy that makes VELOX more automated, intelligent, and insightful
Qualifications:
Required:
• Strong proficiency in Python (Pandas, NumPy, scikit-learn, etc.)
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Hands-on experience with natural language processing, retrieval-augmented generation (RAG), or LLMs (e.g., OpenAI, Claude, Mistral)
• Understanding of data pipelines, model deployment, and performance monitoring
• Experience working with APIs and integrating ML models into production systems
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding generation
• Comfort working in cloud environments (GCP, AWS, or Azure)
Preferred:
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
• 3+ years of experience in applied AI/ML roles
• Track record of launching AI tools or systems into production
• Experience working in a digital agency or marketing analytics environment is a plus
Company:
VELOX is an ROI-Focused digital marketing agency specializing in Organic Search, Content Development, Publishing, Link Building, Paid Advertising, and Conversion Optimization. Founded in 2006, the company is headquartered in Boise, USA, with a team of 51-200 employees. The company is currently Growth Stage.