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Contractual Natural Language Processing Jobs in Utah

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

Expertise in AI, machine learning, and natural language processing (NLP). * Strong communication and collaboration skills. Bonus Points for: * Experience with large language models (LLMs) and prompt ...

... 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 ...

... using natural language. In this role you will... * Build, lead, and scale a high-performing team of Business Development Representatives * Develop and implement BDR processes, playbooks, and best ...

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... using natural language. In this role you will... * Build, lead, and scale a high-performing team of Business Development Representatives * Develop and implement BDR processes, playbooks, and best ...

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Contractual Natural Language Processing information

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.

What are popular job titles related to Contractual Natural Language Processing jobs in Utah?

For Contractual Natural Language Processing jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Contractual Natural Language Processing jobs in Utah look for?

The top searched job categories for Contractual Natural Language Processing jobs in Utah are:

What cities in Utah are hiring for Contractual Natural Language Processing jobs?

Cities in Utah with the most Contractual Natural Language Processing job openings:

Infographic showing various Contractual Natural Language Processing job openings in Utah as of June 2026, with employment types broken down into 5% Internship, 73% Full Time, 17% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution.

Senior AI/ML Engineer

Stackruit Ltd.

Draper, UT • On-site

$100 - $130/hr

Other

Medical, PTO

Posted 15 days ago


Job description

Be an AI/ML Rockstar! Build Cutting-Edge Conversational AI at BambooHR (US)

Do you dream of using AI to build the future of work? Join BambooHR!

About BambooHR
  • We’re a growing tech company with a award-winning culture, helping HR teams and employees thrive. (Learn more atbamboohr.com)
  • We offer a comprehensive benefits package, including generous PTO, healthcare, and educational assistance.
  • Work from home, in our Utah office, or in a hybrid model (depending on role).
The Role
  • You’ll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and data analysis tools.
  • Collaborate with engineers, data scientists, and other experts to bring your ideas to life.
    You’ll have the freedom to experiment and grow within the company.
You’re a Great Fit If You Have:
  • 5+ years of experience building software with machine learning (Python).
  • Experience building production-ready systems with cloud platforms (AWS).
  • Expertise in AI, machine learning, and natural language processing (NLP).
  • Strong communication and collaboration skills.
Bonus Points for:
  • Experience with large language models (LLMs) and prompt engineering.
  • A passion for innovation and creative problem-solving.
Why BambooHR?
  • Make a real impact on the future of work with AI.
  • Enjoy a supportive and collaborative work environment.
  • Competitive salary and benefits package with a focus on well-being.
  • Opportunity to learn and grow your skills.
  • Ready to launch your AI career and make a difference? Apply today!

BambooHR is an equal opportunity employer.

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