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Nlp Practitioner Jobs (NOW HIRING)

6sense

Sr. Data Scientist

San Francisco, CA · On-site

$162K - $238K/yr

... practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products. You will work on advanced machine learning, NLP, LLMs ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

... practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products. You will work on advanced machine learning, NLP, LLMs ...

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Nlp Practitioner information

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$41.5K

$130.3K

$200K

How much do nlp practitioner jobs pay per year?

As of Jun 21, 2026, the average yearly pay for nlp practitioner in the United States is $130,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nlp Practitioner position, and why are they important?

To thrive as an NLP Practitioner, you need a strong understanding of neurolinguistic programming techniques, excellent interpersonal skills, and a relevant certification or formal training in NLP. Familiarity with tools such as coaching frameworks, assessment instruments, and accredited NLP training programs is also important. Strong active listening, empathy, and effective communication skills set outstanding practitioners apart in their ability to build rapport and foster positive client outcomes. These abilities are crucial for successfully guiding clients through personal development and behavioral change processes.

What can an NLP practitioner do?

An NLP practitioner develops and applies natural language processing techniques to analyze and interpret human language data. They work with tools like Python, NLP libraries, and machine learning models to create applications such as chatbots, sentiment analysis systems, and language translation tools, often requiring strong programming and linguistic skills.

What are common challenges faced by NLP Practitioners in their daily work?

One common challenge NLP Practitioners face is tailoring techniques to meet each client’s unique needs, as individuals respond differently to various interventions. Practitioners may also encounter clients who are initially skeptical or resistant, requiring patience and adaptive communication strategies. Balancing multiple clients, maintaining confidentiality, and staying updated with continuing education can also be demanding aspects of the role. However, overcoming these challenges is rewarding, as it leads to meaningful client progress and personal fulfillment.

What is an NLP Practitioner job?

An NLP (Neuro-Linguistic Programming) Practitioner is a professional who uses NLP techniques to help individuals improve their mindset, communication, and personal development. They apply psychological strategies to reprogram limiting beliefs, enhance confidence, and facilitate behavioral change. NLP Practitioners often work as coaches, therapists, or consultants, assisting clients in achieving specific goals in areas like business, relationships, and personal growth.

What is a NLP practitioner's salary?

The average salary for an NLP practitioner varies depending on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Professionals with advanced skills in machine learning, programming, and data analysis tend to earn higher salaries. Certifications in NLP or related fields can also influence earning potential.

What jobs pay $10,000 a month without a degree?

For NLP practitioners, high-paying roles such as freelance consulting, specialized AI project work, or remote contract positions can reach $10,000 per month without a formal degree, especially with strong skills in machine learning, programming, and natural language processing tools. These roles often require demonstrated expertise, a strong portfolio, and experience working with clients or companies directly.

What jobs can you get with NLP certification?

With an NLP practitioner certification, you can pursue roles such as natural language processing analyst, data scientist, machine learning engineer, or AI specialist. These positions typically involve developing and implementing algorithms for language understanding, requiring skills in programming, data analysis, and familiarity with NLP tools like Python and TensorFlow.
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Nlp Practitioner jobs near you
Infographic showing various Nlp Practitioner job openings in the United States as of June 2026, with employment types broken down into 25% Locum Tenens, 1% Internship, 68% Full Time, 1% Part Time, 2% Contract, and 3% Nights. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $130,295 per year, or $62.6 per hour.

Platform Engineer Machine Learning (Utah)

Crew Career Center

Atlanta, GA • On-site

Other

Medical, Retirement, PTO

Posted 25 days ago

Job description

ABOUT THIS POSITION

We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supportsthe training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

WHAT YOU'LL DO

Responsibilities:

  • Developand enhance the machine learning platform to manage the full model life cycle

  • Build frameworksand toolstoenablethe data science teamdevelopingand enhancingpredictive models,supportscalablereal-time predictions in production

  • Design and implementdata engineering solutionsformodel training

  • Expand NLP capabilities with advanced analysis techniques to improve text understanding

  • Design and implementhigh-performance, scalable services and applications

  • Collaborate with team members to create integrated solutions and ensuretimelydelivery of quality software and documentation

  • Understandand adhere to development standards for consistency across teams

  • Performin-depthtechnical and performance analyses to troubleshoot production issues

  • Monitor andmaintainproduction systemsfor reliability and efficiency

WHAT YOU'LL NEED

  • MinimumRequirements (Education,certificationsand experience):

  • Bachelor's degree in Computer Scienceor related area,Masters preferred

  • 7+ years of professional experience writing Pythonor Javacode,with at least 3 years building data platforms

  • Expertproficiencywith SQL

  • NLP

  • Seasoned practitioner of engineering best practices such asCI/CD and automated testing

  • Comfort working in a Linux environment

  • Passion for exploring,applyingand following the evolution ofcutting edgetechnologies related to AI, machine learning, NLP andlarge scaledata processing

  • Professional experience withMLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures

  • Experience with public cloud solutions, such as AWS orGCP

  • Proventrack recordof successful delivery of progressively complex technical projects

  • Coaching and mentoring junior engineers in the team

  • Team player DNA with a positive, self-starter attitude

  • Attention to detail, highly organized, with an absolute focus on quality of work

Preferred Requirements:

  • Familiarity withClearML, Triton,PyTorch, and TensorFlow

  • Familiarity with statistics and healthcare domain

  • Provenexpertisein successful large project/build management and execution

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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