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Entry Level Computer Science Artificial Intelligence Jobs in Baltimore, MD

D. in Computer Science, Data Science, Artificial Intelligence, Learning Sciences, Cognitive Psychology, Educational Technology, or a closely related field; • demonstrated commitment to culturally ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

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Entry Level Computer Science Artificial Intelligence information

See Baltimore, MD salary details

$13

$16

$20

How much do entry level computer science artificial intelligence jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for entry level computer science artificial intelligence in Baltimore, MD is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $17.21 per hour, depending on experience, location, and employer.

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

Can I get an entry level computer science artificial intelligence job with no experience?

Entry level computer science artificial intelligence positions often require some foundational knowledge in programming, algorithms, and machine learning, but many employers consider candidates with relevant coursework, personal projects, or certifications even without formal work experience. Building skills in languages like Python and tools such as TensorFlow can improve your chances, and internships or online courses can help demonstrate your abilities to employers.

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates often need foundational knowledge in programming languages like Python and familiarity with AI frameworks to succeed.

What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Baltimore, MD?

For Entry Level Computer Science Artificial Intelligence jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Baltimore, MD look for?

The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Baltimore, MD are:

Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Baltimore, MD as of September 2026, with employment types broken down into 85% Full Time, 6% Part Time, and 9% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $34,976 per year, or $16.8 per hour.

COMPUTER SCIENTIST

Hanover, MD • On-site

US Defense Counterintelligence and Security Agency

Other

Posted yesterday

New


Job description

DCSA Acquisition and Technology, National Background Investigation Services (NBIS) is seeking a Software Engineer, to serve as a technical expert in the multidisciplinary fields of Product Management, enterprise architecture, infrastructure, software development, data management and governance, tool development, systems engineering, sustainment, and related subject matter areas as they pertain to an enterprise system. Visit www.dcsa.mil to learn more about DCSA, America's Gatekeeper! This position has a Basic Requirement for the 1550: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.

*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.

The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Computer Science Series 1550 for OPM qualification standards, competencies and specialized experience needed to perform the duties of the position as described in the MAJOR DUTIES and QUALIFICATIONS sections of this announcement by 09/14/2026

Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position.

You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade GS/GG-14 in the Federal service and are prepared to take on greater responsibility.

Generally, this would include one year or more of such specialized experience.

Specialized experience for this position includes:

  • Experience engineering and maintaining complex, enterprise-level backend software architectures and data integration systems.
  • Experience designing containerized micro-services and Application Programming Interface (API)-first integration frameworks.
  • Experience developing scalable core backend services, robust data ingestion pipelines, and secure authentication/authorization layers.
  • Experience architecting and managing high-volume API connections to numerous external data providers (to include managing rate limiting, error handling, and token authentication).
  • Experience establishing rigorous coding standards and technical debt governance.
  • Experience utilizing Agile methodologies to iteratively develop, test, and release backend software solutions that support critical organizational or national security missions.
Specifically you will be evaluated on the following competencies
  1. Artificial Intelligence: Knowledge of the principles, methods, and tools used to design systems that perform human intelligence functions.
  2. Data Systems and Management: Plan, develop, implement, and administer the collection, storage, maintenance, integrity, and retrieval of data, using knowledge of computer hardware, software, and systems.
  3. Engineering and Technology: Knowledge of engineering concepts, principles, and practices, and of equipment, tools, mechanical devices, and their uses to produce motion, light, power, technology, and other applications.
  4. Requirements Analysis: Knowledge of the principles and methods to identify, analyze, specify, design, and manage functional and infrastructure requirements; includes translating functional requirements into technical requirements used for logical design or presenting alternative technologies or approaches.
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