1

Director Artificial Intelligence Trainer Jobs (NOW HIRING)

Showing results 21-40

Director Artificial Intelligence Trainer information

See salary details

$36.5K

$87.7K

$155K

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

As of Aug 26, 2026, the average yearly pay for director artificial intelligence trainer in the United States is $87,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What does a director artificial intelligence trainer do?

A Director Artificial Intelligence Trainer oversees the development, implementation, and management of training programs for AI systems and teams. They are responsible for designing strategies to improve machine learning models, ensuring best practices in data handling, and leading teams of AI trainers and engineers. Additionally, they collaborate with other departments to align AI initiatives with organizational goals and keep up with the latest advancements in artificial intelligence. Their leadership ensures that AI solutions are accurate, ethical, and effective in real-world applications.

What are the key skills and qualifications needed to thrive as a director artificial intelligence trainer?

To thrive as a Director Artificial Intelligence Trainer, you need deep expertise in AI/ML concepts, strong leadership experience, and an advanced degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and experience designing AI training programs are typically required. Exceptional communication, mentoring, and strategic thinking skills help you effectively lead teams and communicate complex ideas to diverse audiences. These competencies ensure the effective development of AI talent, alignment with organizational strategy, and advancement of cutting-edge AI initiatives.

What are the primary challenges faced by a director artificial intelligence trainer when managing a team of AI trainers and researchers?

A Director Artificial Intelligence Trainer often navigates challenges such as aligning diverse team members with rapidly evolving AI technologies, ensuring consistent training standards, and integrating new research findings into practical training modules. Additionally, they must foster collaboration between data scientists, engineers, and instructional designers, balancing technical accuracy with effective learning strategies. Staying updated with industry best practices while scaling training programs to meet organizational needs is also a significant aspect of the role.

What is the difference between Director Artificial Intelligence Trainer vs Data Scientist?

AspectDirector Artificial Intelligence TrainerData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; certifications in AI toolsDegree in Data Science, Statistics, or Computer Science; certifications in data analysis and programming
Work EnvironmentLeads AI training teams, collaborates with AI developers, and oversees training programsAnalyzes data, develops models, and provides insights across departments
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech firms, consulting
Common Search & Comparison IntentUnderstanding leadership roles in AI trainingData analysis and modeling skills

The main difference is that the Director Artificial Intelligence Trainer focuses on leading AI training initiatives and managing teams, while a Data Scientist primarily analyzes data and develops models. Both roles require advanced technical skills and are vital in AI and data-driven industries, but their responsibilities and focus areas differ significantly.

More about Director Artificial Intelligence Trainer jobs

What cities are hiring for Director Artificial Intelligence Trainer jobs?

Cities with the most Director Artificial Intelligence Trainer job openings:

What are the most commonly searched types of Artificial Intelligence Trainer jobs?

The most popular types of Artificial Intelligence Trainer jobs are:

What states have the most Director Artificial Intelligence Trainer jobs?

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

Infographic showing various Director Artificial Intelligence Trainer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $87,659 per year, or $42.1 per hour.

Managing Director, Artificial Intelligence

Indianapolis, IN • On-site

NCAA
Colleges, Universities, and Professional Schools • 501 - 1,000 employees

$180 - $260/hr

Other

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


Job description

Job Category: Executive

Requisition Number: MANAG001477

  • Posted : August 3, 2026
  • Full-Time
Locations

Showing 1 location

Indianapolis, IN 46204, USA

Description

The Managing Director combines strategic leadership, business acumen, and technical expertise to identify and scale high-impact AI opportunities, advance organizational AI maturity, and establish the governance, operating model, and talent capabilities required to support long-term success.

Strategic Leadership and Vision
  • Under the direction of the CTO, the Managing Director will refine and communicate the enterprise AI vision, strategy, and roadmap aligned with organizational objectives.
  • Partner with leadership to integrate AI into business and technology strategies.
  • Identify emerging AI trends, opportunities, and risks to inform strategic decision-making.
Enterprise Transformation and Value Delivery
  • Lead AI-driven transformation initiatives that enhance decision-making, operational efficiency, and innovation.
  • Identify, prioritize, and scale high-value AI use cases across the enterprise.
  • Establish performance metrics and ensure AI initiatives deliver measurable business outcomes.
Operating Model and Execution
  • Design and implement the enterprise AI operating model, including governance, delivery frameworks, and talent strategy.
  • Oversee the development, deployment, and scaling of AI solutions across business functions.
  • Lead decisions on build, buy, or partner approaches for AI technologies and platforms.
Governance, Risk, and Compliance
  • Establish and lead AI governance structures, policies, and standards.
  • Ensure compliance with regulatory, legal, privacy, and ethical requirements related to AI.
  • Collaborate with security, legal, compliance, and risk teams to manage AI-related risks.
Portfolio and Investment Management
  • Manage the AI portfolio, including prioritization, funding, and resource allocation.
  • Establish frameworks to track value realization, return on investment, and performance of AI initiatives.
  • Provide transparency and reporting to executive leadership on AI progress and outcomes.
Collaboration and Stakeholder Engagement
  • Drive cross-functional collaboration to ensure alignment and coordination of AI initiatives.
  • Build and maintain relationships with external partners, vendors, and industry organizations.
  • Serve as an executive advocate for AI adoption and innovation across the organization.
Experience and Education
  • Bachelor's degree in computer science, Artificial Intelligence, Data Science, Engineering, Business Administration, or a related field.
  • Advanced degree (e.g., MBA, MS, or PhD) preferred.
  • Ideal candidate will have 12+ years of progressive leadership experience in technology, data, digital, or business transformation roles.
  • 5+ years of experience leading AI, advanced analytics, or data science initiatives at scale.
  • Demonstrated experience leading cross-functional teams and enterprise-wide programs.
  • Experience implementing large-scale transformation initiatives and operating model changes.
  • Proven ability to influence executive stakeholders and drive strategic decision-making.
Preferred Qualifications
  • Experience defining and executing enterprise AI strategies.
  • Experience implementing AI solutions in complex, data-rich environments.
  • Strong understanding of AI/ML technologies, data platforms, and enterprise architecture.
  • Experience with AI governance, risk management, and regulatory compliance frameworks.
  • Background in multiple industries or management consulting is a plus.
  • Strategic Agility
  • Drives Vision and Purpose
  • Executive Presence
  • Motivating Others
Core Values
  • Leadership
  • Inclusion
  • Communication
  • Accountability
Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

#J-18808-Ljbffr

NCAA logo

About NCAA

Sourced by ZipRecruiter

Industry

Colleges, universities, and professional schools

Company size

501 - 1,000 Employees

Headquarters location

Indianapolis, IN, US