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Contractual Natural Language Processing Jobs (NOW HIRING)

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX · On-site

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Roberts Recruiting

Senior Data Scientist

Boston, MA

Develop natural language processing systems that help our customers understand their contracts * Work with a wide range of structured and unstructured data sources * Design and build customized ...

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

LanceSoft, Inc.

Real Estate Agent

Fremont, CA · Remote

Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation. * Excellent attention to detail and analytical skills. * Ability to work ...

LanceSoft, Inc.

Real Estate Agent

Santa Clara, CA · Remote

Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation. * Excellent attention to detail and analytical skills. * Ability to work ...

LanceSoft, Inc.

Real Estate Agent

Alameda, CA · Remote

Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation. * Excellent attention to detail and analytical skills. * Ability to work ...

LanceSoft, Inc.

Real Estate Agent

Sonoma, CA · Remote

Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation. * Excellent attention to detail and analytical skills. * Ability to work ...

LanceSoft, Inc.

Real Estate Agent

San Francisco, CA · Remote

Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation. * Excellent attention to detail and analytical skills. * Ability to work ...

LanceSoft, Inc.

Real Estate Agent

Sunnyvale, CA · Remote

Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation. * Excellent attention to detail and analytical skills. * Ability to work ...

LanceSoft, Inc.

Real Estate Agent

Hayward, CA · Remote

Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation. * Excellent attention to detail and analytical skills. * Ability to work ...

LanceSoft, Inc.

Real Estate Agent

Santa Rosa, CA · Remote

Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation. * Excellent attention to detail and analytical skills. * Ability to work ...

LanceSoft, Inc.

Real Estate Agent

San Mateo, CA · Remote

Experience working on Natural Language Processing projects with a focus on transcriptions, localization, translation. * Excellent attention to detail and analytical skills. * Ability to work ...

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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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What job categories do people searching Contractual Natural Language Processing jobs look for? The top searched job categories for Contractual Natural Language Processing jobs are:
Contractual Natural Language Processing jobs near you
Applied Scientist, Artificial General Intelligence - Data Services

Applied Scientist, Artificial General Intelligence - Data Services

Amazon

Boston, MA • On-site

Full-time

Posted 26 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,843 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.


We are looking for an Applied Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.
Key job responsibilities
Specifically, the Applied Scientist will:
Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
Clean, analyze and select speech/language/other data to achieve goals
Build and test models that elevate the customer experience
Collaborate with colleagues from science, engineering and business backgrounds
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
Work with engineers to develop efficient data querying infrastructure for both offline and online use cases

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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