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Internship Artificial Intelligence Policy Jobs (NOW HIRING)

Synechron

NJ · On-site

$65K - $68K/yr

A solid foundation in programming, especially Python, through coursework, projects, internships ... A higher education certification policy. * Commuter benefits (varies by region). * Extensive ...

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How much do internship artificial intelligence policy jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for internship artificial intelligence policy in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship in artificial intelligence policy?

An Internship in Artificial Intelligence (AI) Policy involves working with organizations, think tanks, or government agencies to research, analyze, and help shape policies related to the development and use of AI technologies. Interns may assist with drafting policy documents, monitoring legislative developments, and evaluating the societal impacts of AI. This role provides exposure to the intersection of technology, law, and ethics, and is ideal for students interested in understanding how regulations can guide the responsible implementation of AI.

What kinds of projects or tasks can I expect to work on during an artificial intelligence policy internship?

As an AI Policy intern, you can expect to work on research and analysis of emerging regulations, draft policy briefs, and monitor legislative developments related to artificial intelligence. You'll likely collaborate with legal, technical, and policy experts to assess the societal impacts of AI technologies and help develop recommendations or guidelines. Interns often contribute to organizing stakeholder meetings or preparing educational materials, providing a hands-on opportunity to engage with real-world policy challenges in a dynamic, interdisciplinary environment.

What are the key skills and qualifications needed to thrive as an artificial intelligence policy intern, and why are they important?

To thrive as an Artificial Intelligence Policy Intern, you need a solid grounding in public policy, ethics, and AI concepts, often supported by coursework or a degree in related fields such as political science, computer science, or law. Familiarity with policy analysis tools, research databases, and basic data analysis software (e.g., Excel, Python) is valuable, as is understanding regulatory frameworks. Exceptional written and verbal communication, critical thinking, and the ability to synthesize complex information are essential soft skills for this role. These capabilities enable interns to effectively contribute to policy research, draft impactful recommendations, and support informed decision-making in the rapidly evolving AI policy landscape.

What is the difference between Internship Artificial Intelligence Policy vs Data Privacy Intern?

AspectInternship Artificial Intelligence PolicyData Privacy Intern
Required CredentialsRelevant coursework in AI, policy, lawBackground in data privacy, cybersecurity, law
Work EnvironmentPolicy development, research, stakeholder engagementData analysis, compliance, privacy assessments
Employer & Industry UsageTech companies, government agencies, think tanksTech firms, legal departments, regulatory bodies
Search & Comparison IntentUnderstanding AI policy roles and responsibilitiesExploring data privacy internship opportunities

Internship Artificial Intelligence Policy focuses on developing and analyzing policies related to AI technology, often involving research and stakeholder collaboration. Data Privacy Internships concentrate on data protection, compliance, and privacy regulations. Both roles require knowledge of legal and technical aspects but differ in their primary focus—policy versus data security—serving different but related sectors within the tech industry.

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Internship Artificial Intelligence Policy jobs near you
Infographic showing various Internship Artificial Intelligence Policy job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC • On-site

Full-time

Re-posted 13 days ago

Job description

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.

Apply