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Entry Level Computer Science Artificial Intelligence Jobs in Baltimore, MD

AI Research Scientist

Baltimore, MD · On-site

$140 - $200/hr

D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is strongly preferred. Proven experience in conducting research and a strong publication record are ...

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

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Entry Level Computer Science Artificial Intelligence information

See Baltimore, MD salary details

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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:

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.

Assistant/Associate Professor in Computer Science and Artificial Intelligence

The Chronicle Of Higher Education, Inc.

Baltimore, MD • On-site

$140 - $250/hr

Other

Medical, PTO

Posted 3 days ago

New


Job description

Job Title

Assistant/Associate Professor in Computer Science and Artificial Intelligence

Summary

We are seeking an accomplished scholar and thought leader in computer science and artificial intelligence to join our faculty at the rank of Assistant or Associate Professor, commensurate with experience. The successful candidate will be based at the University of Maryland Institute for Health Computing (UM-IHC), a major computational research hub in North Bethesda that applies next-generation computational analytics and artificial intelligence to improve health and human disease. The UM-IHC is equipped with a high-performance computing cluster and access to multiple real-world clinical data sets. While the position sits within a health and biomedical research environment, its scope extends broadly across computer science and AI — including machine learning, deep learning, natural language processing, and emerging foundation model architectures — with the expectation that the successful candidate will help set research direction and computational strategy for the Institute, not simply apply existing methods to clinical problems. The ideal candidate will bring an independent, extramurally funded research program, a strong publication record, and a vision for how advances in computer science and AI can transform biomedical and clinical research.

Job Duties
  • Provide strategic and technical thought leadership on computational methods and AI strategy for the Institute for Health Computing.
  • Integrate advanced mathematical and computational modeling to predict health outcomes such as treatment response, hospitalizations, and other clinically meaningful endpoints.
  • Establish and lead an independent, extramurally funded research program in computer science and artificial intelligence, with applications spanning clinical, biological, environmental, and other complex health-related data domains.
  • Secure and sustain extramural research funding.
  • Design and oversee data analysis and computational pipelines, including data extraction, cleaning, transformation, quality assurance, and pipeline monitoring and maintenance.
  • Develop novel machine learning, deep learning, and artificial intelligence methodologies — including next-generation approaches such as foundation models and large language models — and apply them to health and biomedical big data.
  • Publish high-impact, peer-reviewed research in leading computer science, artificial intelligence, biomedical informatics, and clinical journals.
  • Design and conduct research studies in collaboration with other faculty, students, postdoctoral fellows, and research staff.
  • Collaborate with clinicians, scientists, and cross-disciplinary teams to translate computational and AI research findings into clinical and biomedical practice.
  • Promote responsible, equitable AI by developing methods that identify and mitigate bias and advance health equity.
  • Mentor graduate students, postdoctoral fellows, and junior researchers, and represent the Institute in the broader computer science/AI research community (e.g., conference leadership, editorial boards, advisory panels).
Qualifications Required Qualifications
  • Strong programming skills (e.g., Python, R, or comparable languages) and experience building and deploying computational pipelines at scale.
  • Demonstrated expertise in machine learning and/or artificial intelligence, with strong foundations in computer science (algorithms, systems, or theory) alongside applied statistical methods.
  • Experience applying AI/ML methods to clinical, biomedical, or health-related data.
  • Experience with clinical data and clinical research methods.
  • A record of independent, peer-reviewed scholarship and grant-seeking appropriate to the rank of Assistant or Associate Professor.
  • Excellent analytical and problem-solving skills, with the ability to lead as well as collaborate across disciplinary teams.
  • Excellent written and oral communication and interpersonal skills.
  • Experience mentoring or supervising students, postdoctoral fellows, or research staff.
Preferred Qualifications
  • Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and modern architectures such as transformers, foundation models, or large language models.
  • Experience building or leading research teams or labs, with a demonstrated commitment to health equity and responsible AI.
  • A significant, sustained publication record in top computer science/AI venues (e.g., NeurIPS, ICML, ACL) and/or health informatics journals.
  • A track record of funded grants as principal investigator or co-investigator.
Required Education and Experience
  • Doctoral degree in computer science, artificial intelligence, statistics, data science, or a closely related field.
  • Eligible for faculty appointment at an academic medical center (or equivalent research institution) at the rank of Assistant Professor or Associate Professor; final rank will be determined by research record, publication history, and funding trajectory.
  • For appointment at the rank of Associate Professor: a sustained, nationally recognized record of independent research, extramural funding, and scholarly leadership in computer science or artificial intelligence.
  • For appointment at the rank of Assistant Professor: an emerging independent research trajectory, with strong doctoral or postdoctoral research training in computer science or artificial intelligence.
Salary and Benefits
  • The referenced salary range $140,000- $250,000 represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training, and other factors, as reasonably determined by the University.
  • UMB offers a comprehensive benefits package that prioritizes wellness, work/life balance, and professional development. This position offers a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school. Note: Leave and tuition benefits are prorated for part-time employees.
  • UMB is an Equal Opportunity, Affir­mative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees. We are committed to building a diverse environment; women and minorities are strongly encouraged to apply.
  • If you need a reasonable accommodation for a disability, for any part of the recruitment process, please contact HRJobs@umaryland.edu and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
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