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Artificial Intelligence Cognitive Science Jobs (NOW HIRING)

HII's Mission Technologies division

$99K - $175K/yr

The Cognitive Science Engineer supports innovative research, advanced technology development, and ... This role applies deep expertise in artificial intelligence, machine learning, data science, and ...

Vivum AI

Computational Neuroethologist

Bloomington, IN · On-site

... how artificial intelligence powers autonomous systems and robotics. They are seeking a highly ... Required : • Strong background in neuroethology • Strong background in cognitive science • ...

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Artificial Intelligence Cognitive Science information

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How much do artificial intelligence cognitive science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for artificial intelligence cognitive science in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What jobs can I get with artificial intelligence cognitive science?

With a background in artificial intelligence cognitive science, common job roles include AI researcher, machine learning engineer, data scientist, cognitive systems designer, and AI product manager. These roles often require skills in programming, data analysis, and understanding human cognition, and may involve working with tools like Python, TensorFlow, or neural networks in research or industry settings.

What is an artificial intelligence cognitive science?

An Artificial Intelligence Cognitive Science job involves studying and developing AI systems that mimic human cognition, such as learning, reasoning, and problem-solving. Professionals in this field combine insights from computer science, psychology, neuroscience, and linguistics to create intelligent systems. They work on machine learning models, natural language processing, and human-computer interaction to enhance AI capabilities. These roles are found in industries like tech, healthcare, robotics, and finance, where cognitive AI improves decision-making and automation.

What are the typical projects and day-to-day responsibilities for someone working in artificial intelligence cognitive science?

Professionals in Artificial Intelligence Cognitive Science often work on projects that involve designing algorithms to simulate cognitive processes, analyzing large sets of behavioral or neural data, and building models that integrate AI with insights from human cognition. Day-to-day responsibilities usually include coding and testing AI models, collaborating with neuroscientists or psychologists, conducting experiments, and reporting on findings. You might also participate in interdisciplinary meetings to align product development with current cognitive research and contribute to academic publications or conferences. This role offers a dynamic and intellectually stimulating environment, with plenty of opportunities to tackle complex problems and influence the future of AI-driven technologies.

What are the key skills and qualifications needed to thrive in artificial intelligence cognitive science, and why are they important?

To thrive in Artificial Intelligence Cognitive Science, a candidate needs a strong background in computer science, cognitive psychology, and machine learning, often supported by advanced degrees in these areas. Familiarity with programming languages such as Python, R, or MATLAB, experience with data analysis tools, and knowledge of AI frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving skills, curiosity, and the ability to communicate complex ideas to both technical and non-technical audiences are highly valued soft skills. These competencies enable professionals to bridge the gap between human cognition and AI, driving innovation and effective collaboration in multidisciplinary teams.

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Artificial Intelligence Cognitive Science jobs near you
Infographic showing various Artificial Intelligence Cognitive Science job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC

Full-time

Re-posted 12 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 for vaccines and/or therapeutics development.
  • 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
  • 15+ years of experience in vaccines and/or therapeutics development
  • 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.