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Artificial Intelligence Scientist Jobs (NOW HIRING)

Prosperity Life Group

$125 - $150/hr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field * 1-5 years of experience in artificial intelligence, machine learning, data science, or applied ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the ... Partner with stakeholders to identify opportunities for data science to add value. * Design ...

PRGX Global, Inc

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements ... Knowledge & Qualifications • Current Master of Science of PhD student in relevant field such as ...

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How much do artificial intelligence scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence scientist?

Artificial Intelligence Scientists are experts who design, develop, and implement AI models and systems to solve complex problems. They conduct research to advance the field of AI, create algorithms, and work with large datasets to enable machines to perform tasks that typically require human intelligence. Their work often involves machine learning, deep learning, natural language processing, and computer vision. AI Scientists collaborate with other researchers, engineers, and stakeholders to deploy AI solutions in various industries such as healthcare, finance, and technology.

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

To thrive as an Artificial Intelligence Scientist, you need a strong background in computer science, mathematics, and machine learning, usually demonstrated by an advanced degree (Master’s or PhD) in a related field. Expertise in programming languages like Python, familiarity with frameworks such as TensorFlow or PyTorch, and experience with data analysis tools are crucial. Critical thinking, creativity, and effective collaboration help distinguish top performers in developing innovative AI solutions. These skills and qualities are vital for designing, implementing, and refining advanced AI models that solve complex, real-world problems.

What are some common challenges faced by artificial intelligence scientists when deploying models into production environments?

Artificial Intelligence Scientists often encounter challenges when transitioning models from development to production, such as ensuring scalability, addressing data drift, and maintaining model performance over time. Integrating AI solutions with existing systems requires collaboration with software engineers and IT teams to handle infrastructure and security concerns. Additionally, monitoring deployed models for bias, fairness, and reliability is vital, as real-world data can differ significantly from training datasets. Overcoming these challenges involves continuous learning, cross-functional teamwork, and a proactive approach to model governance.

What is the difference between Artificial Intelligence Scientist vs Data Scientist?

AspectArtificial Intelligence ScientistData Scientist
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsMaster's or PhD in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, AI-focused teamsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI research, development, and innovationData analysis, modeling, and decision-making support
Common Search & Comparison IntentUnderstanding AI-specific roles and skillsUnderstanding data analysis and insights roles

Artificial Intelligence Scientists focus on developing AI algorithms, models, and systems, often working in research or innovation settings. Data Scientists analyze large datasets to extract insights and support business decisions. While both roles require strong analytical skills and advanced degrees, AI Scientists specialize in creating intelligent systems, whereas Data Scientists focus on data analysis and visualization.

How do I become an artificial intelligence scientist?

To become an artificial intelligence scientist, you typically need a strong educational background in computer science, mathematics, or related fields, often including a master's or Ph.D. degree. Gaining experience with programming languages like Python, working with machine learning frameworks, and developing skills in data analysis and algorithms are essential. Building a portfolio of projects and staying current with research papers and industry developments also support career advancement.
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Artificial Intelligence Scientist jobs near you
Infographic showing various Artificial Intelligence Scientist job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Artificial Intelligence Integrator (N)

Norfolk, VA • On-site

SimIS Inc.
51 - 200 employees
Learn more about SimIS Inc.external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

ONSITE
Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position and is contingent upon award. 
Job Description:
NATO HQ Supreme Allied Command Transformation (NATO SACT) is seeking contract support to for the capture, development, architecture, data science and quality assurance of capability requirements and operational analysis necessary to adapt to future threats and explore long-term military strategy to shape how NATO's forces will operate in the future. To support our NATO customer, SimIS seeks an Artificial Intelligence Integrator to facilitate collaboration, provide subject matter expertise, and ensure seamless integration of AI technologies to enhance Alliance capabilities.
Qualifications and Experience Required:
  • BS degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science.
  • Minimum of 5 years’ experience in data science, machine learning, or AI engineering in a professional work environment.
  • Minimum of 3 years’ experience integrating AI technologies into practical applications, preferably in simulation or wargaming contexts.
  • Minimum of 3 years’ experience in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI.
  • Proficiency in AI and machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn, etc.
  • Experience with generative AI models, in particular Large Language Models (LLMs) like GPT-3 or GPT-4.
Specific Requirements:
  • Contribute to the integration of artificial intelligence in NATO’s warfare development efforts and capability development.
  • Collaborate with wargaming experts to identify key areas where AI can enhance wargaming design, scenario development, analysis, adjudication, and support to human teams.
  • Support the integration of traditional AI methods and specifically generative AI (Large Language Models/LLMs) into wargaming, improving, for example, strategic depth, and enhanced execution of wargames.
  • Develop real-time analytics and visualizations to support decision-making during wargaming simulations, for example, using Power BI.
  • Support human-machine teaming by integrating AI tools that enhance collaboration between human participants and AI systems.
  • Design and conduct experiments to test the effectiveness of AI applications in wargaming scenarios.
  • Document and present findings from AI integration experiments to stakeholders, proposing continuous improvements.
Benefits:
  • Medical, Dental, and Vision
  • Short-Term Disability (at no cost to you) & Long-Term Disability
  • Life Insurance
  • 401(k) Savings Plan
  • Flex Spending Accounts
  • Tuition Assistance Program
  • Professional Development
  • Paid Time Off (PTO)
  • 11 Federal Holidays each year
 
SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer

 

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