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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 ...

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

$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

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 ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. ● Learn new technologies and focus on what you're passionate about. Requirements :: ● ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. ● Learn new technologies and focus on what you're passionate about. Requirements :: ● ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. ● Learn new technologies and focus on what you're passionate about. Requirements :: ● ...

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Contractual Natural Language Processing information

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

As of Jul 24, 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 are some typical challenges faced by professionals working in contractual Natural Language Processing (NLP) 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.

Will AI replace NLP?

As a Contractual Natural Language Processing professional, AI is designed to augment and automate aspects of NLP work rather than fully replace human expertise. While AI tools can handle large-scale data processing and pattern recognition, human oversight remains essential for tasks requiring nuanced understanding, creativity, and ethical judgment. Continuous skill development in AI and NLP tools is important for staying relevant in this evolving field.

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 (NLP) Specialist, and why are they important?

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.

Which 3 jobs will survive AI?

For a Contractual Natural Language Processing role, jobs that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, data annotation experts, and domain-specific NLP consultants. These roles involve tasks that are difficult for AI to fully automate and often require specialized knowledge, critical thinking, and contextual understanding.

What jobs can you get with NLP certification?

With NLP certification, you can pursue roles such as Natural Language Processing Engineer, Data Scientist, Machine Learning Engineer, or NLP Researcher. These positions typically require skills in programming languages like Python, experience with NLP libraries such as NLTK or spaCy, and understanding of machine learning concepts.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

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.

More about Contractual Natural Language Processing jobs
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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 July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $43,357 per year, or $20.8 per hour.

AI Research Lead (Natural Language Processing) - Vice President

JPMorganChase

Manhattan, NY • On-site

Full-time

Posted 29 days ago

Job description

Job Summary:
JPMorgan Chase is one of the oldest financial institutions, offering innovative financial solutions. The AI Research Lead will work on novel techniques and tools to solve complex large-scale problems, collaborating with experts to contribute to high-impact business applications in AI.
Responsibilities:
• Work on multiple commercially-orientated research projects in collaboration with internal data scientists, applied engineering teams and business stakeholders
• Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build innovative solutions, and communicate research significance
• Contribute to high-impact business applications, open-source software, and patents
• Develop state-of-the art machine learning models to solve real-world problems at scale
Qualifications:
Required:
• PhD in Computer Science, Engineering, or related fields with at least three years of industry experience
• Programming skills in Python
• Proficient understanding of fundamental AI and ML techniques
• Practical experience with statistical data analysis and experimental design
• Curiosity, creativity, resourcefulness, and a collaborative spirit
• Effective verbal and written communication skills with technical and business audiences
• Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds
• Interest in problems related to the financial services domain
Preferred:
• Research publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals)
• Practical experience with ML platforms such as TensorFlow/Keras, PyTorch
• Comfort with rapid prototyping and disciplined software development processes
• Practical software engineering experience in collaborative project settings
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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