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Contractual Natural Language Processing Jobs (NOW HIRING)

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

Soteria Reinsurance Ltd.

WI · On-site

$140 - $190/hr

The role will focus on developing and evaluating AI‑based solutions using natural language processing (NLP), large language models (LLM), machine learning (ML), knowledge graphs, agentic AI ...

Soteria Reinsurance Ltd.

$140 - $190/hr

The role will focus on developing and evaluating AI‑based solutions using natural language processing (NLP), large language models (LLM), machine learning (ML), knowledge graphs, agentic AI ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Fidelity Investments

Senior Data Scientist

Westlake, TX · On-site

The role will focus on developing and evaluating AI-based solutions using natural language processing (NLP), large language models (LLM), machine learning (ML), knowledge graphs, agentic AI patterns ...

1872 Consulting

NLP Developer

Herndon, VA · On-site

The role involves designing and implementing machine learning solutions, particularly in Natural Language Processing, to enhance the effectiveness of Spectra AI and support the automated monitoring ...

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How much do contractual natural language processing jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for contractual natural language processing in the United States is $20.84, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $19.95 per hour, depending on experience, location, and employer.

What is a contractual natural language processing specialist?

A Contractual Natural Language Processing (NLP) specialist is a professional who works on short-term or project-based contracts to develop, implement, and optimize systems that allow computers to understand and process human language. Their responsibilities often include building chatbots, developing text analytics tools, and improving machine translation systems. Unlike full-time employees, contractual NLP specialists typically work for a specific duration or on particular projects, offering flexibility to both employers and professionals. They usually possess expertise in linguistics, programming, and machine learning.

What are the key skills and qualifications needed to thrive as a contractual natural language processing specialist?

To thrive as a Contractual Natural Language Processing (NLP) Specialist, you need a strong background in computational linguistics, machine learning, and programming (typically Python), often supported by a relevant degree or equivalent experience. Familiarity with NLP frameworks like NLTK, spaCy, or Hugging Face Transformers, and experience with cloud computing platforms, are commonly required; certifications in data science or cloud technologies can also be beneficial. Exceptional problem-solving skills, adaptability, and effective communication help specialists collaborate with diverse teams and clearly convey complex findings. These competencies ensure that NLP solutions are robust, scalable, and aligned with client objectives in dynamic project-based environments.

What are some typical challenges faced by professionals working in contractual natural language processing roles?

Professionals in contractual NLP roles often encounter challenges such as quickly adapting to new project requirements, managing tight deadlines, and working with limited access to proprietary data or tools. Since contract positions may involve collaborating remotely with diverse teams, effective communication and self-motivation are crucial. Additionally, staying updated with the latest NLP techniques and ensuring high-quality deliverables despite project constraints are ongoing expectations. Successful contractors are proactive in clarifying client needs and flexible in adjusting to evolving priorities.

What is the difference between Contractual Natural Language Processing vs Data Scientist?

AspectContractual Natural Language ProcessingData Scientist
CredentialsTypically requires degrees in linguistics, computer science, or related fields; certifications in NLP toolsRequires degrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentOften project-based, working with NLP teams or vendors on language-specific tasksIn-house or consulting roles analyzing data, building models, and deriving insights
Industry UsageCommon in tech, legal, healthcare, and customer service sectors for language processing tasksUsed across industries for data analysis, predictive modeling, and decision support

Contractual Natural Language Processing specialists focus on language-specific tasks often on a contractual basis, while Data Scientists analyze data broadly to inform business decisions. Both roles require technical skills but differ in focus and work environment.

Is contractual natural language processing in demand?

Contractual natural language processing roles are in demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. Skills in NLP tools like Python, TensorFlow, and data annotation are highly valued, and the field offers opportunities for contract and project-based work with increasing job availability.
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Contractual Natural Language Processing jobs near you
Infographic showing various Contractual Natural Language Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $43,357 per year, or $20.8 per hour.

Data Scientist [$231k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$231K/yr

Other

Re-posted 18 days ago

Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Contribute to Natural Language Processing (NLP) projects, leveraging expertise in Human Language Processing (HLP). • Execute advanced language data tokenization and develop automated annotation solutions. • Enhance and refine existing Machine Learning/Artificial Intelligence (ML/AI) models by rigorously evaluating performance against human-generated benchmarks. • Apply Data Science methodologies to drive continuous improvement in language processing capabilities. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 10+ years • Salary: $231k+ yearly compensation Job Description: • Lead the implementation and support of Natural Language Processing (NLP) initiatives. • Perform detailed language data tokenization and prepare data for model training. • Design, develop, and deploy automated solutions for efficient language data annotation, utilizing Machine Learning (ML) techniques. • Conduct rigorous performance evaluations of existing AI/ML models, comparing outputs against high-quality human annotations. • Utilize Data Science principles to analyze model performance metrics and identify areas for optimization. • Collaborate with cross-functional teams to integrate Human Language Processing (HLP) insights into broader projects. • Develop strategies for continuous model improvement and data quality enhancement. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency

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