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Director Artificial Intelligence Trainer Jobs (NOW HIRING)

XPO

Director, Artificial Intelligence - Hybrid

Boston, MA · Hybrid

$189K - $237K/yr

What you'll need to succeed as a Director, Artificial Intelligence at XPO: Minimum Qualifications: * Bachelor's degree or equivalent related work or military experience * 7 years of data science ...

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 ...

Ziply Fiber

Director, Artificial Intelligence (AI)

$165K - $200K/yr

Director, Artificial Intelligence (AI) Base Salary: $165,000 to $200,000 annually DOE Bonus: Target ... training, career growth and education reimbursement programs. Ziply Fiber is a local internet ...

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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 Jul 17, 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, and why are they important?

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $87,659 per year, or $42.1 per hour.
Director Artificial Intelligence

Director Artificial Intelligence

Octagon Talent

Fort Lauderdale, FL

Full-time

Re-posted 19 days ago

Job description

Octagon Talent Solutions is seeking a highly skilled and visionary Director of Data Science & Artificial Intelligence in the Fort Lauderdale, FL area to lead our data initiatives and drive innovative solutions using advanced AI technologies. The ideal candidate will bring extensive expertise in AI orchestration and advanced proficiency in Power BI. With a strong history of developing and implementing data-driven strategies, you will play a pivotal role in enhancing business decision-making processes. This combination of technical proficiency and strategic insight ensures measurable value and impactful results, aligning with organizational goals and driving success. Key Responsibilities: - Lead and oversee the data science and AI team, ensuring alignment with organizational goals and driving a culture of excellence in data analytics and AI solutions. - Develop and implement a strategic roadmap for AI initiatives, focusing on orchestration and optimization of AI- powered tools and processes across the organization. - Design and implement advanced analytics models, leveraging machine learning and AI techniques to solve complex business problems and uncover actionable insights. - Collaborate with cross-functional teams to identify data-driven opportunities, providing recommendations based on data insights and predictive analytics. - Utilize Power BI to create dynamic dashboards and visualizations that communicate key performance indicators and drive strategic decision-making. - Mentor and develop team members, fostering a collaborative environment that encourages innovation and professional growth. - Stay abreast of industry trends and advancements in data science and AI, integrating new technologies and methodologies into current practices. - Ensure data integrity and quality throughout all data science projects, enforcing best practices in data management and governance. Requirements: - Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field; Master’s or Ph.D. preferred. - At least 7-10 years of experience in data science, with a minimum of 3 years in a leadership or managerial role. - Proven expertise in AI orchestration methodologies and tools, with a solid understanding of model deployment and monitoring. - Strong experience with Power BI for data visualization and reporting, including knowledge of DAX and Power Query. - Proficient in programming languages such as Python, R, or SQL, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch). - Excellent analytical and problem-solving skills, with a strategic mindset and a passion for turning data into insights. - Exceptional leadership and communication skills, capable of conveying complex concepts to both technical and non-technical stakeholders. - Experience in agile methodologies and project management is a plus. Why Join Us: This is an exciting opportunity to shape the future of our organization through data-driven insights and innovative AI solutions. If you are a forward-thinking leader with a passion for data science and a commitment to excellence, we invite you to apply and become a key driver of our data strategy.