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Director Artificial Intelligence Testing 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 ...

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$153K

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

As of Jun 21, 2026, the average yearly pay for director artificial intelligence testing in the United States is $97,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $140,000.00 per year, depending on experience, location, and employer.

What are the common challenges faced by a Director of Artificial Intelligence Testing, and how can they be addressed?

A Director of Artificial Intelligence Testing often faces challenges such as ensuring the reliability and fairness of AI models, keeping up with rapidly evolving technologies, and managing cross-functional teams with diverse expertise. Addressing these challenges requires a strong framework for continuous testing, effective communication across data science, engineering, and QA teams, and staying updated on the latest AI validation tools and best practices. Proactively fostering a collaborative culture and investing in ongoing staff development can also help mitigate risks and drive successful AI deployments.

How much does a director of AI make?

A director of artificial intelligence typically earns between $130,000 and $200,000 annually, depending on experience, industry, and location. Senior roles may include bonuses, stock options, or other benefits, and strong expertise in machine learning, data science, and leadership are often required.

Which 3 jobs will survive AI?

For a Director of Artificial Intelligence Testing, roles that require complex judgment, creativity, and human interaction are likely to persist, such as AI ethics specialists, AI system auditors, and AI safety engineers. These jobs involve oversight, nuanced decision-making, and understanding of societal impacts that AI cannot fully replicate. Skills in critical thinking, domain expertise, and certification in AI safety or ethics will be valuable for long-term career stability.

What does a Director of Artificial Intelligence Testing do?

A Director of Artificial Intelligence (AI) Testing oversees the development, implementation, and management of strategies to test and validate AI systems. This role ensures that AI models and solutions are reliable, ethical, and perform as intended before deployment. Responsibilities include leading teams of testers and engineers, establishing testing protocols, identifying potential biases, and ensuring compliance with regulations. The director also collaborates with other departments to integrate quality assurance throughout the AI development lifecycle.

How much do AI testers make?

AI testers typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and automation tools can command higher salaries.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as Director of Artificial Intelligence Testing or senior AI executives, which offer compensation packages including salary, bonuses, and stock options. These positions often require extensive experience in AI development, testing, and management, along with advanced skills in machine learning, data analysis, and relevant tools. Such roles are usually found in large tech companies or organizations investing heavily in AI innovation.

What are the key skills and qualifications needed to thrive as a Director of Artificial Intelligence Testing, and why are they important?

To thrive as a Director of Artificial Intelligence Testing, you need deep expertise in AI/ML concepts, test methodologies, and a strong background in computer science or a related field, often supported by advanced degrees. Familiarity with AI testing tools, automation frameworks, and experience with cloud platforms and regulatory compliance systems is essential. Exceptional leadership, strategic thinking, and communication skills enable effective team management and stakeholder collaboration. These skills ensure robust AI system validation, risk mitigation, and the delivery of reliable, ethical AI solutions.
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Director Artificial Intelligence Testing jobs near you
Infographic showing various Director Artificial Intelligence Testing job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $97,531 per year, or $46.9 per hour.
Director Artificial Intelligence

Director Artificial Intelligence

Octagon Talent

Fort Lauderdale, FL

Full-time

Posted 24 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.