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Contractual Natural Language Processing Jobs in Michigan

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Hands ...

Pwc

AI Engineer

Detroit, MI · 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 ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face's Transformers for text-based document processing. * Knowledge of NLP concepts like intent recognition ...

Pwc

AI Engineer

Grand Rapids, MI

$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 ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated * Palantir Foundry platform * Microsoft PowerBI / Fabrics tool (incl. DAX programming language)

Rocket

Manager, Data Science

Detroit, MI · On-site

... Natural Language Processing (NLP), and machine learning Company : Own the Dream. Mortgage services provided by Rocket Mortgage, LLC. NMLSConsumerAccess.org, NMLS #3030 Founded in 1985, the company is ...

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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 popular job titles related to Contractual Natural Language Processing jobs in Michigan? For Contractual Natural Language Processing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Contractual Natural Language Processing jobs in Michigan look for? The top searched job categories for Contractual Natural Language Processing jobs in Michigan are:
What cities in Michigan are hiring for Contractual Natural Language Processing jobs? Cities in Michigan with the most Contractual Natural Language Processing job openings:
Contractual Natural Language Processing jobs near you
Infographic showing various Contractual Natural Language Processing job openings in Michigan as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Senior Artificial Intelligence Associate//Dearborn, MI//W2 only

Saanvi Technologies

Dearborn, MI • On-site

Contractor

Re-posted 2 days ago

Job description

Senior Artificial Intelligence Associate

Dearborn, MI 4days onsite

W2

Position Description:

Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required:

Google Cloud Platform, Python

Skills Preferred:

This role focuses on hands-on development of AI-powered systems that: • Integrate Google LLMs with BigQuery data • Build tool-using AI agents for root cause analysis • Persist investigation intelligence across sessions • Deliver explainable insights to quality engineers What You Will Buil d • AI agents that generate and execute BigQuery SQL autonomously • Investigation memory models (structured + optional semantic) • Multi-step reasoning workflows • APIs that power UX for quality engineers • Logging, traceability, and governance mechanisms

Experience Required:

Senior Associate Exp: 3 to 5 years experience in relevant field

Experience Preferred:

•Experience with Infrastructure-as-Code (Terraform) and DevOps practices. •Familiarity with CI/CD tools like Tekton or Jenkins. •Experience with Cloud Run, Big Query and GitHub CoPilot. •Understanding of Agile methodologies. •Experience with backend frameworks such as Flask, Django, FastAPI. •Experience with Test-First/Test Driven Development (TDD), MVP, Evolutionary design. •Basic understanding of Machine Learning.

Education Required:

Bachelor's Degree

Education Preferred:

Additional Safety Training/Licensing/Personal Protection Requirements:

Additional Information :

4 days on site

Saanvi Technologies logo

About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

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