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Associates Degree In Artificial Intelligence information

How much do AI associates make?

AI associate roles typically have an entry-level salary ranging from $50,000 to $70,000 annually, depending on location and experience. These positions often require knowledge of programming languages like Python and familiarity with machine learning tools, with salaries increasing with additional skills and certifications.

What can I do with an Associate's degree in AI?

An Associate's degree in Artificial Intelligence prepares individuals for entry-level roles such as AI technician, data analyst, or machine learning assistant. These positions often involve supporting AI projects, managing data, and working with tools like Python or TensorFlow. Additional certifications and hands-on experience can enhance job prospects in this field.

What types of entry-level roles are available to graduates with an Associate's Degree in Artificial Intelligence, and how do these positions typically fit within larger tech teams?

Graduates with an Associate's Degree in Artificial Intelligence often find entry-level opportunities as data technicians, junior AI analysts, or machine learning support specialists. In these roles, you’ll typically work under the guidance of senior data scientists or engineers, assisting with data preprocessing, basic model training, and the maintenance of AI systems. You’ll collaborate closely with software developers, IT staff, and sometimes clients to support larger AI projects. These roles offer valuable hands-on experience and can serve as a stepping stone toward more advanced positions or further education in the field.

What are the key skills and qualifications needed to thrive with an Associate's Degree in Artificial Intelligence, and why are they important?

To thrive with an Associate's Degree in Artificial Intelligence, you need foundational knowledge in programming (such as Python), basic mathematics, and understanding of AI concepts. Familiarity with tools like TensorFlow, machine learning libraries, and data analysis platforms is typically expected. Strong problem-solving skills, adaptability, and teamwork are valuable soft skills for this field. These skills and qualities are essential for efficiently supporting AI projects, collaborating with teams, and adapting to rapidly evolving technological advancements.

Is an Associates in AI worth it?

An associate's degree in artificial intelligence can provide foundational knowledge of machine learning, programming, and data analysis, which are valuable for entry-level AI roles. However, many employers prefer candidates with bachelor's degrees or higher, and practical experience or certifications in tools like Python or TensorFlow can enhance job prospects.

What is the difference between Associates Degree In Artificial Intelligence vs Data Analyst?

AspectAssociates Degree In Artificial IntelligenceData Analyst
Required CredentialsAssociate's degree in AI or related fieldAssociate's or Bachelor's degree in Data Science, Statistics, or related field
Work EnvironmentTech companies, research labs, AI development teamsBusiness, finance, healthcare, and marketing sectors
Industry UsageAI development, machine learning projects, automationData interpretation, reporting, and decision support

While both roles require analytical skills, an Associates Degree In Artificial Intelligence focuses on AI technologies and machine learning, often in tech environments. In contrast, a Data Analyst emphasizes data interpretation and reporting across various industries. Your choice depends on whether you want to specialize in AI development or data-driven decision-making.

What is an Associate's Degree in Artificial Intelligence?

An Associate's Degree in Artificial Intelligence is a two-year undergraduate program that introduces students to the fundamentals of AI, including machine learning, data analysis, and computer programming. The curriculum typically covers subjects such as Python programming, statistics, algorithms, and basic AI concepts. Graduates are prepared for entry-level positions in technology fields or for further study in bachelor's programs related to computer science or artificial intelligence.

What can you do with a degree in artificial intelligence?

A degree in artificial intelligence prepares individuals for roles such as AI engineer, data scientist, machine learning analyst, or research scientist. These positions involve developing algorithms, building models, and working with tools like Python, TensorFlow, or PyTorch in technology or research environments.
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Infographic showing various Associates Degree In Artificial Intelligence job openings in Reston, VA as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 93% In-person, and 7% Remote job distribution.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC • On-site

Other

Posted yesterday

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