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Training Ai Models Jobs in Michigan (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices. * Monitor and troubleshoot: Implement data observability tools to monitor pipeline ...

micro1 AI

Legal AI Trainer - Remote

Warren, MI · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal Counsel - AI Trainer

Lansing, MI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal Counsel - AI Trainer

Dearborn, MI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal Counsel - AI Trainer

Detroit, MI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal AI Trainer - Remote

Ann Arbor, MI · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Lansing, MI · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Detroit, MI · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal Counsel - AI Trainer

Grand Rapids, MI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal Counsel - AI Trainer

Warren, MI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal AI Trainer - Remote

Grand Rapids, MI · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Dearborn, MI · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal AI Trainer - Remote

Sterling Heights, MI · Remote

$90 - $150/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. Why Join: * This is an opportunity to ...

micro1 AI

Legal Counsel - AI Trainer

Sterling Heights, MI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

Legal Counsel - AI Trainer

Ann Arbor, MI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Dearborn, MI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Warren, MI · Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

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All JobsTraining Ai Models JobsTraining Ai Models Jobs in Michigan

Training Ai Models information

What is a training AI model?

A Training AI Models job involves developing, refining, and optimizing machine learning models by providing them with relevant data, adjusting parameters, and evaluating their performance. Professionals in this role clean and preprocess data, select appropriate algorithms, and fine-tune models for accuracy and efficiency. They may also work with engineers and researchers to ensure models generalize well to real-world applications. The goal is to create AI systems that perform specific tasks effectively, such as natural language processing, image recognition, or predictive analytics.

What are common challenges faced when training AI models, and how are they addressed?

One of the most common challenges in training AI models is handling large, complex datasets that often contain errors or inconsistencies, which can impact model performance. Professionals in this role frequently collaborate with data engineers and subject matter experts to clean and properly label data, as well as implement quality assurance checks throughout the process. Additionally, tuning model parameters and addressing issues such as overfitting or underfitting often require experimentation and iterative testing. Most teams employ version control and hold regular review sessions to ensure best practices are followed, making collaboration and communication essential parts of overcoming these challenges.

What are the key skills and qualifications needed to thrive in the training AI models position, and why are they important?

To thrive in Training AI Models, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and familiarity with data preprocessing and annotation tools are commonly required; certifications in AI or data science can be advantageous. Effective communication, keen attention to detail, and collaboration are vital soft skills for working with cross-functional teams and ensuring data quality. These abilities are crucial for developing accurate models, delivering impactful AI solutions, and maintaining high standards throughout the model development lifecycle.

Can you get paid to train AI models?

Training AI models is a job that can be paid, especially for roles such as AI trainers, data annotators, or machine learning engineers. Compensation varies based on experience, location, and the complexity of the tasks, and often involves working with labeled datasets, coding, and understanding AI frameworks.

How to become a training AI models?

To become a training AI models professional, develop strong skills in programming languages like Python, understand machine learning algorithms, and gain experience with data preprocessing and model evaluation. Familiarity with frameworks such as TensorFlow or PyTorch and a background in computer science or data science are also important. Certifications or courses in AI and machine learning can enhance your qualifications.

What job trains AI models?

A job that trains AI models is typically called an AI/ML engineer or data scientist. These roles involve developing, testing, and refining machine learning algorithms using programming skills in languages like Python and tools such as TensorFlow or PyTorch. They often require knowledge of data preprocessing, model evaluation, and experience with large datasets.

What are the most commonly searched types of Training Ai Models jobs in Michigan?

The most popular types of Training Ai Models jobs in Michigan are:

What are popular job titles related to Training Ai Models jobs in Michigan?

For Training Ai Models jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Training Ai Models jobs in Michigan look for?

The top searched job categories for Training Ai Models jobs in Michigan are:

What cities in Michigan are hiring for Training Ai Models jobs?

Cities in Michigan with the most Training Ai Models job openings:

Training Ai Models jobs near you
Infographic showing various Training Ai Models job openings in Michigan as of August 2026, with employment types broken down into 58% Full Time, 26% Part Time, and 16% Contract. Highlights an 58% In-person, and 42% Remote job distribution.

AI Data Engineer

IntraEdge

Detroit, MI • On-site

$113K - $136K/yr

Full-time

Re-posted 23 days ago

Job description

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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