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Natural Language Processing Jobs in Louisiana (NOW HIRING)

Pwc

AI Engineer

New Orleans, LA · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

COOLSOFT

AI/ML Support Engineer

Baton Rouge, LA · On-site

The ideal candidate will have a strong foundation in Artificial Intelligence, Machine Learning, Generative AI, and Natural Language Processing , along with hands-on experience in troubleshooting ...

New

Ochsner

Community Radiologist

New Orleans, LA · On-site +1

$307K - $384K/yr

We are also one of the leading radiologic academic centers in the Gulf South with support for both pre-clinical and clinical research including innovation with AI and Natural Language processing with ...

Ochsner Health

Chest Radiologist

New Orleans, LA · On-site

$307K - $384K/yr

We are also one of the leading radiologic academic centers in the Gulf South with support for both pre-clinical and clinical research including innovation with AI and Natural Language processing with ...

Ochsner

Chest Radiologist

New Orleans, LA · On-site +1

$307K - $384K/yr

We are also one of the leading radiologic academic centers in the Gulf South with support for both pre-clinical and clinical research including innovation with AI and Natural Language processing with ...

Ochsner Health

Community Radiologist

New Orleans, LA · On-site

$307K - $384K/yr

We are also one of the leading radiologic academic centers in the Gulf South with support for both pre-clinical and clinical research including innovation with AI and Natural Language processing with ...

Ochsner Health

Chest Radiologist - Section Head

New Orleans, LA · On-site +1

$307K - $384K/yr

We are also one of the leading radiologic academic centers in the Gulf South with support for both pre-clinical and clinical research including innovation with AI and Natural Language processing with ...

Ochsner Health

Physician - Emergency Radiologist

New Orleans, LA · On-site +1

$307K - $384K/yr

We are also one of the leading radiologic academic centers in the Gulf South with support for both pre-clinical and clinical research including innovation with AI and Natural Language processing with ...

Ochsner Health

Chest Radiologist - Section Head

New Orleans, LA · On-site +1

$307K - $384K/yr

We are also one of the leading radiologic academic centers in the Gulf South with support for both pre-clinical and clinical research including innovation with AI and Natural Language processing with ...

Ochsner Health

Chest Radiologist - Section Head

New Orleans, LA · On-site

$307K - $384K/yr

We are also one of the leading radiologic academic centers in the Gulf South with support for both pre-clinical and clinical research including innovation with AI and Natural Language processing with ...

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Natural Language Processing information

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$12

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$41

How much do natural language processing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for natural language processing in Louisiana is $21.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $25.29 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 Louisiana?

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

What are popular job titles related to Natural Language Processing jobs in Louisiana?

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

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

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

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $45,310 per year, or $21.8 per hour.

Data Scientist

Careers | Office of Inspector General

New Orleans, LA

$74K/yr

Full-time

Posted 22 days ago

Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-11: Must have at least one year of specialized experience equivalent to GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Assisting with the application of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line)
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Contributing to written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-12: Must have at least one year of specialized experience equivalent to GS-11 grade level in the Federal service. Specialized experience for this position includes:
  • Applying a range of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line).
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing clear, well organized written products and delivering oral briefings that explain analytical methods, results, and implications to both technical and non-technical audiences or management.
Minimum Qualifications GS-13: Must have at least one year of specialized experience equivalent to GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Conducting statistical analysis to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line.
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing and delivering clear, concise, and comprehensive written reports and oral presentations that communicate complex technical data analyses, findings, and recommendations to both technical and non-technical audiences, including senior management.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.
Education:Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Employment Type: OTHER

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