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Director Artificial Intelligence Trainer Jobs (NOW HIRING)

AJAIA

Artificial Intelligence Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and ... Professional development support Why Join Ajaia You will have direct ownership of AI educational ...

AJAIA

Artificial Intelligence Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and ... Professional development support Why Join Ajaia You will have direct ownership of AI educational ...

Samsonite

Director, Artificial Intelligence

Mansfield, MA · On-site

$190K - $210K/yr

We are seeking a Director of AI to help shape and accelerate this transformation - a role at the intersection of applied AI, enterprise platform delivery, and global business transformation ...

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Director Artificial Intelligence Trainer information

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$36.5K

$87.7K

$155K

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

As of Aug 8, 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 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 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 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.

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.
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Director Artificial Intelligence Trainer jobs near you
Infographic showing various Director Artificial Intelligence Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $87,659 per year, or $42.1 per hour.

Senior Director, Artificial Intelligence

Summit Therapeutics

Palo Alto, CA • On-site

Full-time

Posted 3 days ago

New

Job description

Senior Director, Artificial Intelligence

Overview of Role:

The Senior Director, Artificial Intelligence (AI) will lead the company's enterprise AI strategy and execution, driving meaningful business outcomes across all corporate functions. As a key strategic leader, this individual will partner with executive leadership and functional experts to identify opportunities where AI can accelerate decision-making, improve operational efficiency, enhance knowledge management, and prepare the organization for commercialization.

This role is both visionary and execution-oriented. The Director will define the enterprise AI roadmap, establish governance and best practices, and lead the design and deployment of AI-enabled solutions across functions.

Role and Responsibilities:

Partner with the Executive Leadership Team to identify high-value AI opportunities across the organization.

Develop and execute the company's enterprise AI strategy aligned with corporate objectives and key results.

Establish an AI roadmap that prioritizes initiatives based on business impact, feasibility, risk, and organizational readiness.

Partner closely with Research, Clinical Data Management, Biostatistics, Commercial and other business functions to identify opportunities to leverage AI for improving data, processing, analytics, integration, quality, visualization, and competitive insights, and commercial intelligence, accelerating research, clinical development, and evidence-based decision-making across the organization.

Provide technical leadership and guidance to AI resources embedded within business functions through a dotted-line reporting structure.

Build repeatable AI capabilities that can be leveraged across multiple functions.

Partner with IT and external vendors to deploy enterprise-grade AI solutions.

Oversee pilot programs through enterprise-scale implementation.

Build organizational capability through education, training, and AI literacy initiatives.

In conjunction with the head of IT, define policies for model evaluation, validation, security, privacy, regulatory compliance, and ethical AI.

Ensure AI initiatives comply with applicable regulations, including GxP where applicable.

Evaluate emerging AI technologies and strategic vendor partnerships.

Recommend enterprise platforms and tools that maximize scalability and interoperability.

All other duties as assigned

Experience, Education and Specialized Knowledge and Skills:

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field. Advanced degree (MS, MBA or PhD) in a relevant discipline preferred.

12+ years of experience in technology, digital transformation, data science, AI, or related disciplines.

5+ years' experience within biotechnology, pharmaceuticals or life sciences.

5+ years leading enterprise AI initiatives.

Demonstrated success building and deploying AI solutions that drive measurable business outcomes.

Experience partnering directly with executive leadership to define strategic priorities.

Strong understanding of modern AI technologies including:

Large Language Models (LLMs)

Generative AI

Agentic AI

Machine Learning

Retrieval Augmented Generation (RAG)

Knowledge Management

Intelligent Automation

Experience leading cross-functional transformation initiatives.

Proven ability to influence without direct authority.

Strong analytical skills and ability to translate data into actionable insights.

Excellent leadership and communication skills, with the ability to effectively collaborate across functions and influence stakeholders at all levels.

Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.

Apply