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Artificial Intelligence Safety Jobs (NOW HIRING)

Amrize

Director of Artificial Intelligence

Portland, OR

$170K - $220K/yr

Align AI recommendations with operational constraints, quality standards, and safety requirements ... A master's degree in Artificial Intelligence, Data Science, Analytics, Engineering, Business ...

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

Promote a culture of safety and exhibit these behaviors. WHAT WE'RE LOOKING FOR Education: Bachelor ... A master's degree in Artificial Intelligence, Data Science, Analytics, Engineering, Business ...

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How much do artificial intelligence safety jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for artificial intelligence safety in the United States is $30.43, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $36.06 per hour, depending on experience, location, and employer.

What is Artificial Intelligence Safety?

Artificial Intelligence Safety refers to the field of research and practice focused on ensuring that AI systems are designed, developed, and deployed in ways that are safe, reliable, and aligned with human values. This includes preventing unintended behaviors, minimizing risks, and ensuring that AI technologies do not cause harm to individuals or society. AI safety experts work on topics such as robustness, transparency, fairness, and the prevention of catastrophic failures. The field is increasingly important as AI systems become more capable and are integrated into critical aspects of daily life.

What are the key skills and qualifications needed to thrive in Artificial Intelligence Safety, and why are they important?

To excel in Artificial Intelligence Safety, you need a solid background in computer science, machine learning, and mathematics, often supported by an advanced degree in a related field. Familiarity with programming languages like Python, AI/ML frameworks (such as TensorFlow or PyTorch), and knowledge of safety standards or certifications like ISO/IEC 27001 is beneficial. Critical thinking, ethical reasoning, and effective communication skills are essential for identifying risks and collaborating across multidisciplinary teams. These competencies are crucial for ensuring that AI systems are robust, transparent, and aligned with human values, minimizing potential harms.

How much does AI safety pay?

AI safety professionals typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning, ethics, or policy can earn higher salaries, especially in tech hubs or research institutions.

Is AI safety a good career?

AI safety is a growing field focused on developing methods to ensure artificial intelligence systems operate reliably and ethically. Careers in AI safety often require strong backgrounds in machine learning, programming, and ethics, with roles available in research, industry, and policy. It can be a rewarding career for those interested in the responsible development of AI technologies.

What is the difference between Artificial Intelligence Safety vs AI Ethics Specialist?

AspectArtificial Intelligence SafetyAI Ethics Specialist
Required CredentialsComputer Science, AI Safety Certifications, Data ScienceEthics, Philosophy, Law, AI Policy
Work EnvironmentResearch labs, tech companies, AI development teamsPolicy organizations, research institutions, tech firms
Industry UsageFocus on preventing AI risks, ensuring safe deploymentFocus on ethical implications, societal impact of AI

Artificial Intelligence Safety professionals primarily focus on developing methods to prevent AI systems from causing harm and ensuring safe deployment. In contrast, AI Ethics Specialists concentrate on the moral, societal, and policy implications of AI technologies. While both roles overlap in promoting responsible AI, their core responsibilities and skill sets differ, with Safety emphasizing technical solutions and Ethics emphasizing policy and societal considerations.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI safety lead, often requiring advanced degrees, extensive experience, and expertise in areas like deep learning, reinforcement learning, or ethical AI. These roles may involve overseeing AI development, ensuring safety protocols, and managing teams in tech companies or research institutions, with compensation reflecting the seniority and impact of the position.

What are some common challenges faced by professionals working in Artificial Intelligence Safety, and how can they be addressed?

Professionals in Artificial Intelligence Safety often encounter challenges such as ensuring transparency in AI algorithms, managing bias in training data, and handling the unpredictability of autonomous systems. Collaboration across interdisciplinary teams—including ethicists, engineers, and legal experts—is crucial to address these issues effectively. Staying current with evolving regulations and best practices, as well as participating in regular audits and risk assessments, helps mitigate safety concerns and promotes responsible AI development.

What are the career opportunities in AI safety?

Career opportunities in AI safety include roles such as AI safety researcher, machine learning engineer, and policy analyst, focusing on developing safe and reliable AI systems. These positions often require skills in programming, machine learning frameworks, and understanding of ethical considerations, with opportunities available in academia, industry, and research institutions.
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Artificial Intelligence SME

Tunnell Government Services

Washington, DC • On-site

Full-time

Posted 2 days ago

Job description

Tunnell Government Services, Inc., is comprised of the industry's leading scientists, medical and technical experts, and human capital and organizational development professionals. We approach all projects as a team and are committed to helping our clients transform and quickly achieve strategic goals. If you are interested in joining an employee-owned company that develops and implements innovative, integrated and differentiated solutions, please click on the links below to find the job that is right for you and contact us.
Artificial Intelligence SME
A Subject Matter Expert (SME) in artificial intelligence with a focus on healthcare and biomedical research is needed to provide contracted support to the Biomedical Advanced Research and Development Authority (BARDA), within the U.S. Department of Health and Human Services (HHS) in Washington, DC. The mission of BARDA is to develop and procure medical countermeasures (MCM) that address the public health and medical consequences of chemical, biological, radiological, and nuclear (CBRN) accidents, incidents and attacks, pandemic influenza, and emerging infectious diseases. Specifically, BARDA supports the advanced development and procurement of drugs, vaccines and other products that are considered priorities for national health security. For more information on BARDA please visit their website at: http://www.phe.gov/about/BARDA/Pages/default.aspx
Specifically, this individual will provide strategic, technical, and scientific expertise on the application of artificial intelligence (AI), machine learning (ML), and advanced data analytics to BARDA's mission of developing and procuring medical countermeasures (MCMs) for public health emergencies. The AI SME will advise leadership, program managers, and technical teams on the integration of AI technologies across BARDA's programs, ensuring the agency remains at the forefront of innovation in biodefense, pandemic preparedness, and health security.
Major Duties & Responsibilities:
  • Advise BARDA leadership on emerging trends, opportunities, and risks in AI and related technologies.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines including review of algorithms and algorithm performance
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to the formulation of policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and provide recommendations for applications of machine learning/artificial intelligence tools and capabilities to field of biotech research and development (e.g. digital health, drug discovery and design, clinical validation).
  • Evaluating diverse data sets for use with AI products/tools, such as EHR, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advising on improvements to data collection and curation, developing standards, and developing data use and sharing agreements to enable AI applications
  • Advising R&D partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.

Requirements:
  • Advanced degree (Ph.D. or M.S) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field
  • Minimum of 8-10 years of experience applying AI/ML in healthcare, biomedical research, or health security contexts
  • Demonstrated expertise in algorithm development, data modeling, and AI governance
  • Demonstrated ability to communicate complex AI concepts to diverse stakeholders
  • Demonstrated experience serving as technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data.
  • Demonstrated understanding of software development principles and cloud-based platforms and services relevant to AI development.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance

Must be a US Citizen or Full Green Card holder.
Tunnell strives to hire and retain the most qualified talent. We believe that having employees with different backgrounds and capabilities contributes to the success of our business. To attract qualified applicants, Tunnell posts to a wide variety of job sites. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Please be advised that certain client contracts may outline specific requirements for onsite work. Tunnell employees and/or contractors are expected to comply with all client requirements, including any safety and health protocols.

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