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Trainee Computer Science Artificial Intelligence Jobs

Nwacc

Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Business Analytics, or a related field * Demonstrated knowledge or experience with ...

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Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Business Analytics, or a related field * Demonstrated knowledge or experience with ...

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How much do trainee computer science artificial intelligence jobs pay per year?

As of Jul 18, 2026, the average yearly pay for trainee computer science artificial intelligence in the United States is $37,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,000.00 per year, depending on experience, location, and employer.

Can you get an AI job with a computer science degree?

A computer science degree provides a strong foundation for AI jobs such as AI engineer or data scientist. Success often depends on gaining skills in machine learning, programming languages like Python, and experience with AI frameworks. Additional certifications or projects can improve job prospects in this field.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, senior machine learning engineers, or AI executives, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and cutting-edge development in AI technologies, and they tend to be found in large tech companies or specialized AI firms.

Which 3 jobs will survive AI?

For a Trainee in Computer Science Artificial Intelligence, roles such as AI specialists, data scientists, and cybersecurity analysts are expected to persist as AI tools augment these fields. These jobs require advanced technical skills, problem-solving, and ongoing learning to adapt to evolving technologies. They are less likely to be fully automated due to their complexity and need for human oversight.

How do I get a job in AI with no experience?

To get a job in AI as a trainee or entry-level role, focus on building foundational skills in programming languages like Python, understanding machine learning concepts, and gaining hands-on experience through online courses, projects, or internships. Demonstrating knowledge of AI tools such as TensorFlow or PyTorch and earning relevant certifications can also improve your chances.
What cities are hiring for Trainee Computer Science Artificial Intelligence jobs? Cities with the most Trainee Computer Science Artificial Intelligence job openings:
What are the most commonly searched types of Computer Science Artificial Intelligence jobs? The most popular types of Computer Science Artificial Intelligence jobs are:
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Trainee Computer Science Artificial Intelligence jobs near you
Artificial Intelligence Subject Matter Expert (AI SME)

Artificial Intelligence Subject Matter Expert (AI SME)

IntelliGenesis

Annapolis Junction, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 25 days ago

Job description

Help Shape the Future of AI for National Security
At IntelliGenesis, we don't just teach AI - we develop it.
Through our IG Labs innovation division, we research, prototype, and operationalize emerging artificial intelligence capabilities for some of the nation's most challenging mission environments. From agentic AI and large language models to cyber defense, autonomous systems, and mission-focused AI applications, our teams are helping government organizations accelerate the adoption of trusted AI.
We are seeking an experienced Artificial Intelligence Subject Matter Expert (AI SME) to serve as a bridge between cutting-edge AI innovation and workforce transformation. This individual will work closely with IG Labs researchers, AI engineers, mission experts, and instructional designers to ensure that emerging AI capabilities are translated into meaningful learning experiences, workforce development initiatives, and operationally relevant training programs.
This is an opportunity to influence not only how AI is developed, but how it is understood, adopted, and employed across the national security community.
What You'll Do
  • Serve as the principal AI technical advisor supporting AI education, workforce development, and mission-focused training initiatives.
  • Collaborate with IG Labs researchers and engineers to identify emerging AI technologies and translate them into workforce development opportunities.
  • Help define the skills, competencies, and certification standards required for an AI-ready workforce.
  • Guide the development of curriculum, labs, simulations, and practical exercises focused on real-world AI applications.
  • Provide technical leadership across topics including:
     
    • Generative AI
    • Large Language Models (LLMs)
    • Agentic AI
    • Machine Learning
    • Deep Learning
    • Data Science
    • AI Governance and Responsible AI
    • MLOps and AI Operations
    • Cybersecurity and AI
       
  • Ensure training content remains aligned with current industry advancements, government AI strategies, and operational mission requirements.
  • Develop mission-relevant use cases demonstrating how AI can be applied to solve real-world challenges.
  • Support AI demonstrations, workshops, technical exchanges, and customer engagements.
  • Evaluate emerging technologies and provide recommendations regarding future workforce development and training priorities.
  • Contribute thought leadership supporting IntelliGenesis' AI strategy, innovation initiatives, and workforce transformation efforts.
     
Required Qualifications:
  • Must be a U.S. Citizen.
  • Active TS/SCI clearance with polygraph.
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or related technical discipline.
  • 10+ years of technical experience in artificial intelligence, machine learning, data science, advanced analytics, or related technical fields.
  • Demonstrated experience applying AI technologies to operational, mission, research, or business challenges.
  • Experience with large language models, retrieval augmented generation (RAG), agentic AI architectures, AI orchestration frameworks, or autonomous systems.
  • Familiarity with Responsible AI, AI governance, and emerging federal AI policies.
  • Strong understanding of modern AI methodologies, architectures, and workflows.
  • Ability to communicate complex technical concepts to technical and non-technical audiences.
     
Desired Qualifications:
  • Master's degree or PhD in Artificial Intelligence, Computer Science, Data Science, Engineering, or related discipline.
  • Experience supporting Department of Defense, Intelligence Community, or Federal Government organizations.
  • Experience developing technical training, certifications, workshops, or workforce development programs.
  • Published research, conference presentations, patents, or demonstrated contributions to AI innovation initiatives.

Why IntelliGenesis?
At IntelliGenesis, you'll have the opportunity to work alongside AI researchers, engineers, mission operators, and innovators who are actively developing next-generation AI capabilities through IG Labs, our dedicated research and innovation division.
You'll help bridge the gap between AI innovation and mission adoption by influencing how AI is developed, understood, and operationalized across the national security community.
Whether contributing to AI prototypes, exploring emerging technologies, supporting workforce transformation initiatives, or helping shape future AI certification programs, you'll play a direct role in preparing government organizations for an AI-enabled future.
Join us in building the technologies - and the workforce that will define the next generation of mission success!
Compensation Range: $185,000 -  $215,000

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Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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