AI Data Engineer
$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 ...
AI Data Engineer
$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 ...
Director AI Integration and Applications
Detroit, MI · On-site
$296 - $350/hr
It requires strong embedded software and automotive integration expertise, as well as practical knowledge of AI model training, distillation, and tuning. Success in this role will not only deliver ...
Posted today
Director AI Integration and Applications
Detroit, MI · On-site
$296 - $350/hr
It requires strong embedded software and automotive integration expertise, as well as practical knowledge of AI model training, distillation, and tuning. Success in this role will not only deliver ...
Posted today
Develop data pipelines for collection, cleaning, feature engineering, training, validation, and deployment of AI models * Train, optimize, and validate ML/RL models using simulation, test, and field ...
Develop data pipelines for collection, cleaning, feature engineering, training, validation, and deployment of AI models * Train, optimize, and validate ML/RL models using simulation, test, and field ...
Develop data pipelines for collection, cleaning, feature engineering, training, validation, and deployment of AI models * Train, optimize, and validate ML/RL models using simulation, test, and field ...
Develop data pipelines for collection, cleaning, feature engineering, training, validation, and deployment of AI models * Train, optimize, and validate ML/RL models using simulation, test, and field ...
Develop data pipelines for collection, cleaning, feature engineering, training, validation, and deployment of AI models * Train, optimize, and validate ML/RL models using simulation, test, and field ...
Quick apply
Develop data pipelines for collection, cleaning, feature engineering, training, validation, and deployment of AI models * Train, optimize, and validate ML/RL models using simulation, test, and field ...
Strong understanding of the ML lifecycle, including data engineering, model training, deployment ... Experience deploying AI models at the edge.
Quick apply
Strong understanding of the ML lifecycle, including data engineering, model training, deployment ... Experience deploying AI models at the edge.
Industrial Engineer - AI Trainer
Detroit, MI · Remote
$70 - $110/hr
Work independently and asynchronously to meet deadlines while improving AI model performance . Qualifications Must-Have * 4+ years of experience as an Industrial Engineer, Process Engineer, Quality ...
Quick apply
Industrial Engineer - AI Trainer
Detroit, MI · Remote
$70 - $110/hr
Work independently and asynchronously to meet deadlines while improving AI model performance . Qualifications Must-Have * 4+ years of experience as an Industrial Engineer, Process Engineer, Quality ...
Circuit Design PhD - Problem Author - AI Trainer
Detroit, MI · Remote
$85/hr
Collaborate with AI research teams to improve training data quality and model performance. * Work independently and asynchronously to meet deadlines and enhance AI model performance . Qualifications ...
Quick apply
Circuit Design PhD - Problem Author - AI Trainer
Detroit, MI · Remote
$85/hr
Collaborate with AI research teams to improve training data quality and model performance. * Work independently and asynchronously to meet deadlines and enhance AI model performance . Qualifications ...
Collaborate with AI research teams to enhance model training and evaluation. Qualifications Must-Have * PhD in Materials Science & Engineering , Metallurgy , or a materials-focused Mechanical ...
Quick apply
Collaborate with AI research teams to enhance model training and evaluation. Qualifications Must-Have * PhD in Materials Science & Engineering , Metallurgy , or a materials-focused Mechanical ...
RF Circuit Design Expert - PhD - AI Trainer
Detroit, MI · On-site +1
$70 - $85/hr
Collaborate with research teams to improve AI model performance and training data quality. * Work independently and asynchronously to meet deadlines and refine problem designs. Qualifications Must ...
Quick apply
RF Circuit Design Expert - PhD - AI Trainer
Detroit, MI · On-site +1
$70 - $85/hr
Collaborate with research teams to improve AI model performance and training data quality. * Work independently and asynchronously to meet deadlines and refine problem designs. Qualifications Must ...
Mechanical Engineer - AI Trainer
Detroit, MI · Remote
$70 - $110/hr
Work independently and asynchronously to improve AI model performance and meet deadlines. * Collaborate with AI research teams to enhance training data quality and downstream performance.
Quick apply
Mechanical Engineer - AI Trainer
Detroit, MI · Remote
$70 - $110/hr
Work independently and asynchronously to improve AI model performance and meet deadlines. * Collaborate with AI research teams to enhance training data quality and downstream performance.
Create and maintain security standards for training data protection and validation. * Oversee security assessments of AI models pre and post-deployment. * Develop incident response procedures ...
Create and maintain security standards for training data protection and validation. * Oversee security assessments of AI models pre and post-deployment. * Develop incident response procedures ...
Create and maintain security standards for training data protection and validation. * Oversee security assessments of AI models pre and post-deployment. * Develop incident response procedures ...
Create and maintain security standards for training data protection and validation. * Oversee security assessments of AI models pre and post-deployment. * Develop incident response procedures ...
Own productroadmapandexecution for AI/ML training workflow capabilities that improve model development speed, training reliability, experiment traceability, and developer productivity. * Deeply ...
Own productroadmapandexecution for AI/ML training workflow capabilities that improve model development speed, training reliability, experiment traceability, and developer productivity. * Deeply ...
Validate difficulty by running problems against three frontier language models until at least one fails. * Evaluate the accuracy and depth of AI-generated content in aerodynamics to strengthen ...
Quick apply
Validate difficulty by running problems against three frontier language models until at least one fails. * Evaluate the accuracy and depth of AI-generated content in aerodynamics to strengthen ...
Validate difficulty by running problems against three frontier language models until at least one fails. * Collaborate with AI research teams to improve problem-solving approaches. * Work ...
Quick apply
Validate difficulty by running problems against three frontier language models until at least one fails. * Collaborate with AI research teams to improve problem-solving approaches. * Work ...
Mechanical Design PhD - CAD Expert - AI Trainer
Detroit, MI · Remote
$85/hr
Validate difficulty by running problems against three frontier language models until at least one fails. * Collaborate with AI research teams to improve training data quality and downstream ...
Quick apply
Mechanical Design PhD - CAD Expert - AI Trainer
Detroit, MI · Remote
$85/hr
Validate difficulty by running problems against three frontier language models until at least one fails. * Collaborate with AI research teams to improve training data quality and downstream ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Ai Model Training information
What is an AI model training?
An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.
What are the typical work responsibilities of someone in AI model training?
Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.
What are the key skills and qualifications needed to thrive in the AI model training position, and why are they important?
To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.
Are there any legit AI model training jobs?
Yes, legitimate AI model training jobs are available in the tech industry, often requiring skills in machine learning, programming (such as Python), and data annotation. These roles can be found at technology companies, research institutions, and through reputable job boards, and may involve tasks like data labeling, model tuning, and algorithm development.
Can you get paid to train AI models?
Yes, AI model training is a paid role that involves developing and fine-tuning machine learning algorithms, often requiring skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and the complexity of the models being trained.
How do I become an AI model trainer?
To become an AI model trainer, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of data preprocessing are essential. Gaining hands-on experience through projects or internships can also improve your prospects in this role.
What are the most commonly searched types of Ai Model Training jobs in Michigan?
The most popular types of Ai Model Training jobs in Michigan are:
What are popular job titles related to Ai Model Training jobs in Michigan?
For Ai Model Training jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Model Training jobs in Michigan look for?
The top searched job categories for Ai Model Training jobs in Michigan are:
What cities in Michigan are hiring for Ai Model Training jobs?
Cities in Michigan with the most Ai Model Training job openings:
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.
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