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Senior Artificial Intelligence Trainer Jobs (NOW HIRING)

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How much do senior artificial intelligence trainer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior artificial intelligence trainer in the United States is $77,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $100,000.00 per year, depending on experience, location, and employer.

Can I get a job as a senior artificial intelligence trainer?

A senior artificial intelligence trainer is responsible for developing and refining AI models, often requiring expertise in machine learning, deep learning, and programming languages like Python. Relevant experience, strong analytical skills, and knowledge of data annotation tools are typically necessary for this role.

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States with the most job openings for Senior Artificial Intelligence Trainer jobs include:

Sr. Artificial Intelligence & Machine Learning Developer

Ryerson Holding Corporation

Downers Grove, IL • On-site

$131K - $196K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Ryerson rating

7.9

Company rating: 7.9 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

132nd of 428 rated retail wholesalers


Job description

Sr. Artificial Intelligence & Machine Learning Developer
Req Id: 2940
Workplace Type: Hybrid
Job Shift: 1st
Brand: Ryerson
Job Location: Downers Grove
Posting Start Date: 8/14/26
Summary
Welcome to Ryerson, where exceptional career opportunities await. As a leading provider of industrial and OEM metal products and services since 1842, we are committed to excellence and best-in-class customer service. Join our team and be a part of a legacy of excellence, where your contributions will be valued, and your development supported. Ryerson offers a dynamic, quality-focused, environment, ideal for advancing your career and making your mark in the metals industry.
As a Sr. Artificial Intelligence & Machine Learning Developer at Ryerson, you will lead the design, development, and support of AI and machine learning solutions that help improve business processes and decision-making. This role will own key AI/ML platforms, tools, and integrations while helping expand the use of automation, agents, and predictive models across the organization. You will work with business stakeholders to build scalable, secure, and practical AI solutions that deliver measurable value. This position follows a hybrid work schedule, with employees expected to work from the office Tuesday through Thursday each week.
Roles and Responsibilities
  • Own the full lifecycle of Ryerson's AI and machine learning systems, from design through production support
  • Build and maintain AI/ML infrastructure, products, models, and agents across business functions
  • Serve as the primary developer for AI/ML tools, including Azure Machine Learning, Azure OpenAI, Azure AI Search, Python, SQL, Databricks, and related Azure services
  • Support agent development environments such as Copilot Studio, Agentforce, Joule AI, Azure AI Foundry, and related integration tools
  • Monitor changes in AI/ML technology and recommend tools or capabilities that support business needs
  • Create reports and dashboards to track AI/ML performance, accuracy, usage, and adoption
  • Document systems, models, decisions, and processes for technical and business users
  • Partner with stakeholders to define model goals, success measures, timelines, and delivery plans
  • Support continuous improvement through code reviews, testing, deployment practices, and solution enhancements
  • All other duties as assigned or duties, responsibilities, and activities may change at any time with or without notice

Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related field
  • 4 plus years of experience developing, deploying, and supporting AI/ML applications
  • Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, and generative AI solutions
  • Experience building and deploying AI/ML models, agents, and algorithms
  • Strong knowledge of MLOps practices, including model versioning, automation, and monitoring
  • Experience with tools such as Python, SQL, Kubernetes, Databricks, and HuggingFace
  • Knowledge of Copilot Studio, Azure Functions, API integrations, prompt engineering, and agent lifecycle management
  • Strong organization, communication, and project management skills

Salary: $131,129 - $196,694 annually plus bonus. A starting salary higher than $131,694 annually is based on a level of experience and education that significantly exceeds the minimum requirements and is commensurate with the compensation scale.
Ryerson offers eligible employees the following benefits:
  • Medical, dental, and vision insurance programs
  • 401K plans with employer-matching contributions
  • Paid vacation, sick, and holidays

#LI-GC1
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex (including gender identity, sexual orientation or preference, and pregnancy), age, national origin, religion, disability or genetic information, marital status, status as a veteran, or any other federal, state or local protected class or artificial barrier.

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