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Contractual Natural Language Processing Jobs in Illinois

Vkore Solutions

GenAI Architect

Chicago, IL · On-site

$65 - $85.50/hr

Architect end-to-end AI solutions that leverage machine learning, natural language processing, computer vision, and other AI technologies to solve complex business problems. * Work closely with ...

Pwc

AI Engineer

Chicago, IL · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

Pwc

AI Engineer

Rosemont, IL · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

DRW

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

Some exposure to Natural Language Processing and/or High-Performance Computing is a plus * Excellent written and verbal communication skills to report research results as well as methodologies

C3 AI

Data Scientist (Federal)

Virginia, IL

Experience with deep learning, natural language processing, computer vision, or application of large language models (RAG, Agentic, etc.). * Understanding of optimization (constrained, stochastic ...

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Contractual Natural Language Processing information

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 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 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-based and project-specific work.
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Contractual Natural Language Processing jobs near you

GenAI Business Analyst

Conch Technologies Inc

Chicago, IL • On-site

Contractor

Posted 28 days ago

Job description

Hi,
Greetings from Conch Technologies
Position: GenAI Business Analyst
Location: 1-2x week onsite – Downtown Chicago, IL
Duration: 12+ Months
 

Required Qualifications

  • 3+ years of Business Analyst experience supporting customer-facing technology solutions.
  • Experience working with IVR, Conversational AI, chatbot, voicebot, contact center, or customer experience platforms.
  • Strong requirements gathering, documentation, and stakeholder management skills.
  • Experience creating user stories, process flows, journey maps, and functional specifications.
  • Understanding of customer experience (CX) principles and self-service technologies.
  • Experience working within Agile/Scrum environments.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience supporting Conversational AI platforms such as Amazon Lex, Dialogflow, NLX, IBM Watson Assistant, Microsoft Bot Framework, Rasa, or similar technologies.
  • Exposure to Generative AI, Large Language Models (LLMs), AI Assistants, and intelligent automation initiatives.
  • Familiarity with Natural Language Processing (NLP) concepts, including intent recognition, entity extraction, sentiment analysis, and conversational design.
  • Experience supporting contact center technologies, IVR modernization, or customer service transformation programs.
  • Exposure to AWS, Azure, or Google Cloud environments.
  • Basic understanding of chatbot analytics, conversational performance metrics, and AI model evaluation.

Technical Environment

  • Conversational AI Platforms
  • IVR Technologies
  • Generative AI / LLM Solutions
  • Customer Experience (CX) Platforms
  • Natural Language Processing (NLP)
  • Jira / Confluence
  • Agile / Scrum Methodologies
  • AWS, Azure, or Google Cloud Environments
 
 

Thanks & Regards,

Ash | Ash@Conchtech.com

+1 901 444 3152