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Entry Level Computer Science Artificial Intelligence Jobs in Baltimore, MD

Sargent & Lundy

Entry Level Civil Engineer

Elkridge, MD · On-site

$62K - $90K/yr

Description This entry-level position will offer you the opportunity to utilize and expand your ... in Computer Science, Artificial Intelligence, Software Engineering, or related fields that helps ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

... computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do ...

iNovex Information Systems

Data Scientist 1

Annapolis, MD · On-site

$90K - $120K/yr

... computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do ...

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All JobsComputer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence Jobs in Baltimore, MD

Entry Level Computer Science Artificial Intelligence information

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

As of Aug 21, 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 the most commonly searched types of Computer Science Artificial Intelligence jobs in Baltimore, MD?

The most popular types of Computer Science Artificial Intelligence jobs in Baltimore, MD are:

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:

Entry Level Computer Science Artificial Intelligence jobs near you
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Baltimore, MD as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $34,976 per year, or $16.8 per hour.

Faculty, Technology, Engineering, Construction

Prince George's Community College

Largo, MD • On-site

$58K - $75K/yr

Full-time

Re-posted 16 days ago

Job description

Position Information
Position Title Faculty, Technology, Engineering, Construction Position Type Faculty Department Technology, Engineering, and Construction FLSA Exempt Union/Non Union Union Full Time or Part Time Full Time Grade ... Salary Range Hiring Salary Range $58,041 - $75,850 (depending on education and experience) Fixed Term/Tenure Track (Faculty Only) Tenure Track Regular or Temporary Regular Job Description Summary
The instructor is responsible for the coordination, planning, preparation, presentation, and evaluation of classroom instruction and related activities during the day, evening, or weekend via instructional delivery formats to include face-to-face, hybrid, online, and remote. Face-to-face and hybrid classes may be offered on any Prince George's Community College campus, or at off-campus locations. The instructor must remain current in the discipline area and continually explore teaching methods and strategies to engage learners, organize and plan instructional content that accommodates diverse learning styles, and devise appropriate assessment tools that monitor student learning outcomes. The instructor is also responsible for participating in related activities to include professional development, academic advising, curriculum design. The instructor performs all other duties as directed by the Department Chair, Dean of Instruction, or the President or designee.
Minimum Qualifications
EDUCATION AND EXPERIENCE
Required
  • Master's degree in Quantum Information Science (QIS), Quantum Engineering, Artificial Intelligence, Machine Learning, Robotics, Physics with a quantum specialization, Computer Engineering/Computer Science with an AI or QIS emphasis, or closely related discipline.
  • A minimum of 1 year of full-time higher education teaching experience in areas such as data science, cloud computing, software development, cybersecurity, information systems, or related technologies
OR
  • A minimum of one semester of higher education teaching experience in areas such as data science, cloud computing, software development, cybersecurity, information systems, or related technologies combined with at least three years of industry experience in data science, cloud computing, or other related computing fields.
Preferred
  • Industry experience in one or more of the following: data science, cloud computing, software development, Quantum technologies in academic, cybersecurity, information security, information technology, computer programming, database systems, systems analysis, AI/ML or web technologies.
  • Demonstrated experience with high-impact teaching practices that enhance student engagement and learning outcomes, such as project-based learning, real-world simulations, or the integration of emerging technologies in the classroom.
  • Doctorate in Quantum Information Science, Artificial Intelligence, Machine Learning, or a related emerging-technology field.
  • Demonstrated experience applying AI or quantum technologies in academic, research, or industry settings.
OTHER REQUIREMENTS
  • Evidence of curriculum development or applied research in AI, machine learning, quantum computing, or other emerging technologies.
  • Experience working with grant-funded initiatives or workforce programs in AI or quantum technologies.
  • Extent and relevance of educational preparation to anticipated teaching assignments.
  • Relevance of teaching experience to anticipated teaching assignments in a variety of information technology areas.
  • Relevance of non-teaching professional experience to anticipated teaching assignments. Examples: Curriculum development, interdisciplinary engagement, work with grant funded programs, industry certification.
  • Evidence of quality teaching, including faculty evaluation scores and ratings, teaching awards earned, face-to-face and online courses designed, developed and/or revised, etc.
  • Evidence of knowledge of and experience in employing instructional methods and techniques appropriate to different student learning styles. Examples: Cooperative learning, online teaching, and group projects.
  • Evidence of currency in professional discipline through industry certification, continuing education, professional development and/or scholarly activity.
  • Extent of expertise and/or teaching experience in the following information technology areas:
    • Cisco routing and switching concepts (CCNA)
    • Computer graphics
    • Computer hardware installation, configuration and repair
    • Information security
    • Learning management systems (Canvas)
    • Network administration.
    • Online teaching experience
    • Operating systems concepts
    • Cloud Computing
    • Programming logic and languages
    • Programming application development (mobile and gaming)
    • Project management
    • Social networking media
    • Systems analysis
    • Web technology
  • Extent, currency, and relevance of professional certifications held. Examples: A+, CCNA, CISSP, IC3, MOS, CEH, AWS, Net+, Security+, etc..9. Evidence of ability to teach effectively within, and contribute positively to, a diverse, multi-ethnic, multi-cultural student population and campus environment.
  • IBM Quantum Developer Certification
  • AWS Machine Learning Specialty or Google Professional ML Engineer Certification
  • Cloud-based quantum or AI platform certifications (AWS Braket, Azure Quantum, Google Vertex AI)
Candidates with specialization in Quantum Information Science or Artificial Intelligence are strongly encouraged to apply. Experience developing applied learning environments, labs, and pathways in emerging technologies is preferred.
Criteria
CRITERIA: The following criteria, which are not the sole criteria used in the final hiring decision, will be used to review the applications of those persons who meet the stated minimum qualifications and to select those qualified applicants who will be interviewed. Other information and observations made during the interview process may be considered in the selection process. A Resume/CV and cover letter are required with the application. Please ensure that your documents address the criteria listed below for this position.
ESSENTIAL DUTIES
  • Plan, organize, and teach curriculum content in conjunction with course outcomes.
  • Using applicable technology and andragogical principles, teach course content via an appropriate delivery format (may include face-to-face, hybrid, online, and remote instruction).
  • Complete mandated institutional trainings and professional development as required.
  • Follow department and division requirements for preparing a course syllabus.
  • Facilitate appropriate instructional activities that promote student engagement and learning.
  • Evaluate student performance using assessment tools as directed by the department; inform students in a timely manner of their progress.
  • Create and administer assessments that monitor student progress; provide timely student feedback.
  • Provide an orientation at the first- class meeting to include (as applicable) an overview of the course syllabus, an outline of course objectives, course requirements, attendance policy, grading system, textbook(s), and supplemental materials.
  • Notify students of key dates and course adjustments
  • Comply with attendance and grading requirements as established for the course (may include maintaining an up-to-date electronic grade book and entering final grades by the established due date).
  • Maintain accurate class records; submit required class records by the established due date.
  • Participate in departmental evaluation and course assessment processes as directed.
  • Follow department and division requirements for maintaining office hours, advising students, and referring students to appropriate resources.
  • Respond to student emails and phone calls within 48 hours with the exception of weekends and holidays. Maintain regular communication with students. Use the assigned PGCC email for communication with the department and with students.
  • Submit annual program budgets to and work closely with the appropriate Department Chair, Program Coordinator, Director or Program Director on the development of annual division budgets for approval by the Dean, if applicable
  • Attend all required meetings.
  • Engage in appropriate and relevant service to the college and to the department (e.g., search committees, faculty committees, etc.)
  • Maintain the currency and relevance of all learning resources for the courses, especially but not limited to OER's.
  • Serve as a Campus Security Authority (CSA) by complying with the Clery Act and reporting crime-related information.
  • Perform all other job-related duties as assigned.
KNOWLEDGE, SKILLS & ABILITIES
  • Knowledge of quantum computing fundamentals including qubits, quantum circuits, and basic quantum algorithms.
  • Ability to use quantum development platforms such as Qiskit, Cirq, or AWS Braket.
  • Applied AI development skills including machine learning, deep learning, LLMs, and agentic AI systems.
  • Proficiency with Python for AI and quantum development.
  • Ability to integrate AI and QIS concepts into engineering, computing, or cybersecurity instruction.
  • Mastery of course content
  • Ability to provide service to diverse populations using a student-centered approach.
  • Ability to communicate effectively with students, faculty, and staff.
  • Ability to plan, deliver and assess effective instruction.
  • Ability to teach in face to face, remote and online modalities, as needed.
  • Ability to effectively use instructional technology (Internet, instructional software, learning management system, videoconferencing, etc.).
  • Critical thinking, organization, and conflict management skills.
  • Research skills (where appropriate).
  • Time management, planning and organizational skills.
  • Ability to work as part of a team.
  • Problem-solving and analytical ability.
  • Ability to teach in non-traditional formats (online, remote, hybrid) and settings (off-campus, weekends, evenings and accelerated).
Job Requirements
PHYSICAL REQUIREMENTS
Must have the use of sensory skills in order to effectively communicate and interact with other employees and the public through the use of the telephone and personal contact as normally defined by the ability to see, read, talk, hear, handle, or feel objects and controls. Physical capability to effectively use and operate various items of office related equipment, such as, but not limited to a, personal computer, calculator, copier, and fax machine. Some climbing, stooping, kneeling, crouching, reaching, standing, walking, pushing, pulling, lifting, grasping, and repetitive motions maybe required. Occasionally the ability to physically move and lift materials 5-25 pounds maybe required. An understanding of and the ability to teach, handle, and maintain art related materials, chemicals, and equipment in a safe and responsible manner is essential.

OTHER REQUIREMENTS
  • Ability to communicate effectively in spoken and written standard English.
  • As required by the 1986 Immigration Act, be prepared to present acceptable documentation showing your identity and that you are a U.S. citizen or an alien who is authorized to work.
  • A background investigation will be conducted prior to the offer of employment. A signed authorization for the release of personal information will be required if selected for an interview.

ACCOMMODATIONS
To perform this job successfully, an individual must be able to satisfactorily perform each essential job duty. Prince George's Community College provides reasonable accommodations when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. Accommodation determinations are made on a case-by-case basis. If reasonable accommodation is needed, please contact the ECT department.
Is Background Check Required? Yes Is the incumbent responsible for working with minor children or directly engaging with minor children on campus? No
Posting Detail Information
Posting Number PGCC234611/12 Open Date 03/09/2026 Close Date Open Until Filled Yes Background Check Statement
Prince George's Community College is committed to providing a safe campus community. PGCC conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, education verification, and when appropriate, a financial (credit) report or driving history check.
Special Instructions to Applicants
Application Status: you will receive an email acknowledging receipt of your application, upon which time no further communication occurs unless selected for an interview or the posi...

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