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Artificial Intelligence Content Analyst Jobs (NOW HIRING)

... or content analysis - 3+ years with AI/GenAI experience, specifically in heavily regulated ... intellectual curiosity, and the initiative to discover insights independently - Ability to ...

Experience using AI tools for productivity, creative applications, or data analysis Knowledge ... Ability to deliver complex technical content clearly to diverse learners * Ability to foster ...

Experience using AI tools for productivity, creative applications, or data analysis Knowledge ... Ability to deliver complex technical content clearly to diverse learners * Ability to foster ...

Web Content Analyst

Scottsdale, AZ ยท On-site

$83K - $84K/yr

Experience supporting content-intelligence or generative-AI use cases.Experience working with software developers, data analysts, operational users, and Government stakeholders.Experience developing ...

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Artificial Intelligence Content Analyst information

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How much do artificial intelligence content analyst jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for artificial intelligence content analyst in the United States is $28.60, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $31.97 per hour, depending on experience, location, and employer.

What is an artificial intelligence content analyst?

An Artificial Intelligence Content Analyst is a professional who evaluates, curates, and optimizes digital content using AI tools and techniques. Their main responsibilities often include analyzing large datasets, identifying trends or patterns, ensuring content quality, and improving content strategies based on data-driven insights. They may also collaborate with machine learning teams to train AI models for content moderation, recommendation, or personalization. This role requires a blend of analytical skills, technical knowledge, and understanding of content creation and management.

What are the key skills and qualifications needed to thrive as an artificial intelligence content analyst?

To thrive as an Artificial Intelligence Content Analyst, you need a strong background in data analysis, content evaluation, and understanding of AI and machine learning concepts, often supported by a relevant degree in computer science, linguistics, or a related field. Familiarity with data annotation tools, content management systems, and programming languages like Python is typically required. Critical thinking, attention to detail, and strong communication skills help analysts interpret complex data and collaborate effectively with cross-functional teams. These skills are crucial to ensure high-quality AI outputs, accurate content evaluation, and the continuous improvement of AI-driven solutions.

How does an artificial intelligence content analyst typically collaborate with data scientists and product teams?

Artificial Intelligence Content Analysts frequently work alongside data scientists and product teams to ensure that AI-generated content aligns with business objectives and quality standards. They often review outputs, provide feedback on accuracy and relevancy, and help refine algorithms by annotating data or flagging inconsistencies. Effective communication and cross-functional teamwork are key, as analysts translate technical findings into actionable insights for non-technical stakeholders. This collaboration helps create more reliable and user-centric AI products.
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Infographic showing various Artificial Intelligence Content Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $59,488 per year, or $28.6 per hour.

Artificial Intelligence SME

Washington, DC โ€ข On-site

Full-time

Re-posted 20 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.