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Contract Nlp Practitioner Jobs (NOW HIRING)

Sphere Partners

Data & AI Solutions Architect

Contract Start Date: ASAP Responsibilities: * Develop Generative AI solutions utilizing GCP ... Design and develop prototypes in collaboration with IT practitioners and client stakeholders;

All JobsContract Nlp Practitioner Jobs

Contract Nlp Practitioner information

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$41.5K

$130.3K

$200K

How much do contract nlp practitioner jobs pay per year?

As of Jul 12, 2026, the average yearly pay for contract 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 as a Contract NLP Practitioner, and why are they important?

To excel as a Contract NLP Practitioner, you need a deep understanding of neuro-linguistic programming techniques, coaching methodologies, and typically an NLP certification from a recognized organization. Familiarity with tools for virtual coaching sessions, such as video conferencing platforms and digital assessment software, is often required. Excellent communication, empathy, and adaptability are crucial soft skills for building client rapport and facilitating personal change. These competencies are important because they empower practitioners to deliver effective, ethical, and client-centered NLP interventions in diverse contract-based settings.

What is a Contract NLP Practitioner?

A Contract NLP Practitioner is a professional who specializes in Neuro-Linguistic Programming (NLP) and is hired on a contract basis to work with individuals or organizations. Their role involves using NLP techniques to help clients improve communication, overcome personal challenges, and achieve specific goals. Contract NLP Practitioners may provide coaching, training, or therapy sessions, typically for a predetermined period or project. They often work independently and may serve a range of clients across various industries. The flexibility of contract work allows organizations to access specialized NLP expertise as needed.

What are some common challenges faced by Contract NLP Practitioners when working with multiple clients?

Contract NLP Practitioners often juggle several client projects simultaneously, which can present challenges such as managing varying client expectations, adapting to diverse organizational cultures, and staying organized across different project timelines. Effective communication and flexibility are essential, as each client may have unique goals or preferred NLP methodologies. Additionally, maintaining confidentiality and managing data security across clients is crucial, especially when dealing with sensitive information.

What is the difference between Contract Nlp Practitioner vs Data Scientist?

AspectContract Nlp PractitionerData Scientist
Required CredentialsCertifications in NLP, machine learning, or related fields; often includes specific NLP toolsDegree in Data Science, Computer Science, or related; often includes statistical and programming certifications
Work EnvironmentProject-based, often freelance or contract roles in tech, healthcare, or financeFull-time or contract roles in tech companies, finance, healthcare, or consulting
Employer & Industry UsageUsed by organizations implementing NLP solutions, AI startups, or consulting firmsUsed across industries for data analysis, predictive modeling, and AI development

The Contract Nlp Practitioner specializes in applying NLP techniques to specific projects, often on a contractual basis, focusing on language processing tasks. In contrast, Data Scientists have a broader scope, working with various data types and analytical methods. While both roles require technical skills, the Contract Nlp Practitioner is more focused on NLP tools and language models, making it ideal for projects needing specialized language processing expertise.

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Contract Nlp Practitioner jobs near you
Infographic showing various Contract Nlp Practitioner job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $130,295 per year, or $62.6 per hour.

Senior AI/ML Process Engineer

AGE Solutions

Fort George G Meade, MD • Hybrid

$170K/yr

Other

Posted 23 days ago

Job description

AGE Solutions is seeking a Senior AI/ML Process Engineer to support our DoD customer in modernizing Risk Management Framework (RMF) processes through automation, artificial intelligence, and emerging technologies.

This position will help identify, evaluate, and recommend opportunities to leverage Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing technologies to improve the speed, accuracy, and efficiency of cybersecurity and risk management operations.

The successful candidate will work closely with process engineers, cybersecurity professionals, and government stakeholders to assess current workflows and develop innovative solutions that accelerate RMF execution and reduce manual effort.

Responsibilities Include:

  • Conduct analysis of RMF-related business processes and identify opportunities for AI-enabled modernization.
  • Evaluate emerging technologies including Generative AI, Machine Learning, Large Language Models (LLMs), Natural Language Processing (NLP), and intelligent document processing.
  • Assess opportunities to automate cybersecurity and RMF activities, including:
    • Control assessments
    • Evidence reviews
    • STIG development and maintenance
    • Ticket triage
    • Connection package reviews
    • Cross Domain risk analysis
  • Collaborate with process engineers to develop future-state workflows incorporating AI and automation technologies.
  • Support development of implementation roadmaps and modernization strategies.
  • Research commercial and government AI capabilities applicable to RMF and cybersecurity operations.
  • Develop executive briefings, white papers, recommendations, and technical documentation.
  • Support pilot initiatives and proof-of-concept activities.
  • Assist with workflow automation initiatives using ServiceNow, Jira, RPA, and related technologies.

Required Skills, Qualifications and Experience:

  • Education:
    • Bachelor's degree in engineering, Computer Science, Information Systems, Business, or related discipline.
  • Experience:
    • 15 Years of experience with a minimum of (5) years' experience in process improvement, business process analysis, cybersecurity operations, AI/ML technologies, or digital transformation initiatives.
    • Experience evaluating or implementing AI, ML, Generative AI, NLP, or intelligent automation solutions.
    • Experience conducting technical analysis and developing recommendations for process improvement initiatives.
  • Security Clearance:
    • Must have a current DoD Secret Clearance.
  • Certifications:
    • Must have a Current DoD 8570/8140 compliant certification (Security+, CAP, CISSP, CISM, or equivalent).
      • Additional role-specific certifications in process improvement, automation, AI/ML, or cybersecurity are highly desired.
  • Skills and Knowledge:
    • Demonstrated proficiency with Microsoft Visio, including process modeling, BPMN, swim-lane diagrams, and workflow analysis.
    • Demonstrated proficiency with Microsoft PowerPoint and executive-level presentation development.
    • Working knowledge of DoD RMF, NIST SP 800-37, NIST SP 800-53, CNSSI-1253, and DoDI 8500.01/8510.01.
    • Familiarity with STIG/SRG/CCI development, A&A processes, Cloud A&A processes, or cloud cybersecurity architecture.
    • Working knowledge of workflow automation technologies including ServiceNow, Jira, and Robotic Process Automation (RPA).
    • Knowledge of AI/ML concepts, LLMs, Generative AI, NLP, and intelligent document processing technologies.
    • Strong analytical, research, technical writing, and problem-solving skills.
  • Location:
    • This is a hybrid position. Must be able to travel periodically to Fort Meade, MD and Chambersburg, PA to support customer meetings, workshops, and program activities.

Preferred Qualifications:

  • Experience supporting DISA, DoD, or federal cybersecurity programs.
  • Experience with Azure AI, AWS AI/ML services, OpenAI, Anthropic, or similar enterprise AI platforms.
  • Familiarity with AI governance, responsible AI principles, and cybersecurity applications of AI.
  • Experience developing strategic technology roadmaps and modernization recommendations.
  • Certifications in cloud-based Artificial Intelligence (AI) and Machine Learning (ML) technologies, including AWS Certified AI Practitioner, Microsoft Azure AI Fundamentals, Azure AI Engineer Associate, AWS Machine Learning Specialty, or equivalent credentials highly preferred.
  • Lean Six Sigma certification or process improvement experience.

The projected salary range for this position is $170,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications.

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