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Ai Content Engineer Jobs in Michigan (NOW HIRING)

Ilitch

Applied AI Engineer

Detroit, MI

The Applied AI Engineer turns ideas into production-ready AI solutionsspanning feasibility, data ... The above is intended to describe the general content of and requirements for the performance of ...

Little Caesars

Applied AI Engineer

Detroit, MI

$113K - $136K/yr

Job Summary:The Applied AI Engineer turns ideas into production-ready AI solutions spanning ... The above is intended to describe the general content of and requirements for the performance of ...

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

The Applied AI Engineer turns ideas into production-ready AI solutions spanning feasibility, data ... The above is intended to describe the general content of and requirements for the performance of ...

Hudson Manpower

AI Technical Writer

Grand Rapids, MI · On-site

$37 - $41/hr

This role focuses on transforming engineering documentation, source code, configurations, standards, and technical knowledge into concise, structured content that AI systems can accurately retrieve ...

company826

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

... research content, standards-related material, membership and event data, and learning resources ... At least 8 years of progressive experience in AI/ML engineering, including a minimum of 3 years ...

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Ai Content Engineer information

What are some typical challenges an AI content engineer faces when deploying AI-generated content at scale?

AI Content Engineers often encounter challenges related to maintaining content quality and consistency when deploying AI-generated material across multiple platforms. Balancing automation with human oversight is crucial to avoid errors, biases, or brand voice inconsistencies. Additionally, integrating AI tools with existing content management systems and ensuring compliance with data privacy regulations can be complex. Close collaboration with data scientists, content strategists, and legal teams is often required to address these issues effectively.

What is the difference between Ai Content Engineer vs Data Scientist?

AspectAi Content EngineerData Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and ML toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDeveloping AI models for content generation, working with NLP and ML frameworksAnalyzing data sets, building predictive models, interpreting complex data
Employer & Industry UsageTech companies, content platforms, AI startupsFinance, healthcare, tech firms, research institutions

While both roles involve AI and data analysis, Ai Content Engineers focus on creating AI systems for content generation, whereas Data Scientists analyze data to derive insights and build predictive models. The roles often overlap in skills but differ in primary objectives and applications.

What is an AI content engineer?

An AI Content Engineer is a professional who designs, develops, and manages content systems powered by artificial intelligence. They work at the intersection of content strategy, data science, and machine learning, creating tools and workflows that automate or enhance content creation, curation, and personalization. Their responsibilities often include training language models, integrating AI capabilities into content management systems, and ensuring the quality and relevance of AI-generated content. This role is crucial for organizations aiming to scale content production while maintaining quality and consistency.

What are the key skills and qualifications needed to thrive as an AI content engineer?

To thrive as an AI Content Engineer, you need a strong background in computer science, natural language processing (NLP), and experience with programming languages like Python, as well as a relevant degree or equivalent experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), NLP libraries (like spaCy or NLTK), and cloud platforms is typically required. Creativity, problem-solving, and effective communication are essential soft skills for designing user-focused AI content solutions and collaborating with cross-functional teams. These skills ensure the development of robust, innovative AI-driven content systems that meet business and user needs.
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Ai Content Engineer jobs near you
Infographic showing various Ai Content Engineer job openings in Michigan as of August 2026, with employment types broken down into 5% Internship, 85% Full Time, and 10% Contract. Highlights an 78% In-person, 12% Hybrid, and 10% Remote job distribution.

Documentation & AI Content Specialist

HireTalent - Staffing & Recruiting Firm

Auburn Hills, MI • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview

We are seeking a skilled Documentation & AI Content Specialist to support AI implementation initiatives within Salesforce. This role focuses on creating clear, user-friendly, and AI-ready content that enables both employees and AI-powered tools to deliver seamless experiences.

  • Duration: 2-Year Contract (potential for full-time conversion, not guaranteed)
  • Work Model: Onsite
  • Interview Process: Virtual
  • Experience: 3–5 years
  • Education: Bachelor’s Degree preferred (required for full-time conversion)
  • Industry Background: Open


Responsibilities

  • Support AI implementation initiatives within Salesforce environments
  • Develop process documentation, SOPs, and knowledge base articles
  • Create customer-facing and internal content optimized for AI-driven systems
  • Translate complex processes into clear, concise, user-friendly documentation
  • Build decision trees and workflow diagrams to support AI chatbot interactions
  • Collaborate with a team of process developers on AI-focused projects
  • Design content that improves usability for both human users and AI solutions


Required Qualifications

  • 3–5 years of experience in instructional design or technical writing
  • Strong expertise in process documentation and SOP creation
  • Experience developing knowledge base content
  • Familiarity with AI-powered tools, chatbots, or AI-driven platforms
  • Working knowledge of Salesforce
  • Ability to create decision trees and workflow documentation
  • Proven ability to simplify complex processes into easy-to-understand content
  • Proficiency with:
  • Salesforce
  • Microsoft Visio
  • AI chatbot or knowledge management platforms
  • Portfolio required demonstrating:
  • Process documentation
  • SOPs
  • Knowledge base articles
  • Instructional design samples
  • Clear, user-friendly content examples


Preferred Qualifications

  • Experience with AI-driven knowledge management systems
  • Exposure to Salesforce AI implementation initiatives
  • Proficiency in Microsoft Visio
  • Experience creating customer-facing AI content
  • Chatbot content development experience

Apply