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Contractual Natural Language Processing Jobs in Arizona

Forhyre

Prompt Engineers

Phoenix, AZ · On-site

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Intraedge

Gen AI/ML engineer

Phoenix, AZ · On-site

Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains. Experience in prompt engineering, data preprocessing, model fine-tuning, and ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience with Natural Language Processing NLP * Familiarity with geospatial data and mapping tools * Knowledge of Monte Carlo simulations and stochastic modeling * Experience with Git and CICD ...

Conch Technologies Inc

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Hands-on experience with AI/ML and Natural Language Processing (NLP) * Experience working with GitHub , GitHub Actions , and CI/CD pipelines * Experience with Five9 Contact Center Platform

Forhyre

Tech Lead - Conversational AI

Phoenix, AZ

In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. * Experience with popular conversational AI platforms and frameworks such as Dialogflow ...

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Contractual Natural Language Processing information

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.

What are the most commonly searched types of Natural Language Processing jobs in Arizona? The most popular types of Natural Language Processing jobs in Arizona are:
What are popular job titles related to Contractual Natural Language Processing jobs in Arizona? For Contractual Natural Language Processing jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Contractual Natural Language Processing jobs in Arizona look for? The top searched job categories for Contractual Natural Language Processing jobs in Arizona are:
What cities in Arizona are hiring for Contractual Natural Language Processing jobs? Cities in Arizona with the most Contractual Natural Language Processing job openings:
Contractual Natural Language Processing jobs near you
GenAI with Chatbot

GenAI with Chatbot

Donato Technologies, Inc

Phoenix, AZ • On-site

Other

Re-posted 26 days ago

Job description

GenAI with Chatbot
Phoenix, Arizona
Job description

We are seeking an experienced AI Architect to lead the design, development, and implementation of an advanced internal-facing assistant solution. The ideal candidate will have a strong background in architecture, product evaluation, and hands-on implementation experience with AI-powered assistants similar to Glean or Rogo.

Key Responsibilities:

Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies

Develop proof-of-concepts and prototypes to validate architectural decisions

Lead the integration of the chatbot with internal systems, databases, and APIs

Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives

Implement best practices for AI model deployment, monitoring, and continuous improvement

Provide technical leadership and mentorship to the development team

Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture

Required Qualifications:

10+ years of experience in software development, with a focus on AI and machine learning

Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo

Strong hands-on experience with Python, LLMs, and Generative AI technologies

Deep understanding of natural language processing, sentiment analysis, and text generation techniques

Expertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scaling

Experience with MLOps practices and tools for model lifecycle management

Strong problem-solving skills and ability to translate complex business requirements into technical solutions

Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders

Skills
Skills

PRIMARY COMPETENCY : Cognitive Services PRIMARY SKILL : AI/ML (Artificial Intelligence & Machine Learning) Algorithms PRIMARY SKILL PERCENTAGE : 60 SECONDARY COMPETENCY : Cognitive Services SECONDARY SKILL : Web Frameworks for Python (Flask & Django) SECONDARY SKILL PERCENTAGE : 40