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Contractual Natural Language Processing Jobs (NOW HIRING)

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

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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 Jun 12, 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.

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.

Is NLP a dead field?

Natural Language Processing (NLP) is an active and evolving field with ongoing research and industry applications. NLP specialists are in demand for developing chatbots, sentiment analysis, and language understanding systems, requiring skills in machine learning, programming, and data analysis.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, since their roles involve developing, managing, and overseeing AI systems. These jobs require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and expertise in tools like Python and TensorFlow will support long-term employability in these fields.

Is ML a high paying job?

Machine Learning (ML) roles, including those in natural language processing, are generally well-paid due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but ML positions tend to offer competitive compensation compared to many other tech roles.

What is a $900,000 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, natural language processing, and leadership. These roles usually involve overseeing complex projects, managing teams, and developing innovative AI solutions, and they tend to be found in large tech companies or specialized AI firms with competitive compensation packages.

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.

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Contractual Natural Language Processing jobs near you
Natural Language Processing Engineer

Natural Language Processing Engineer

Beyond SOF

Washington, DC • On-site

Other

Posted 25 days ago

Job description

Role Summary:
The Natural Language Processing
(NLP) Engineer is responsible for
developing and implementing NLP
solutions to support the
company's projects.
Main Responsibilities and duties:
Develop and implement NLP
solutions.
Collaborate with the engineering
team to integrate NLP solutions
into projects.
Conduct research on NLP
technologies and trends.
Stay updated on the latest NLP
technologies and trends.
Develop and implement
quantum-enhanced NLP
solutions. Collaborate with
quantum engineers to integrate
quantum technologies into NLP
projects.

Apply