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Entry Level Computer Science Artificial Intelligence Jobs in Richmond, VA

CoStar Group, Inc.

Data Scientist

Richmond, VA · On-site

$71 - $105/hr

Bachelor's degree in computer science, data analytics, statistics, machine learning, or related field * 2+ years of relevant experience in machine learning, artificial intelligence, model performance ...

CoStar

Data Scientist

Richmond, VA

Bachelor's degree in computer science, data analytics, statistics, machine learning, or related field 2+ years of relevant experience in machine learning, artificial intelligence, model performance ...

Visual Lease

Data Scientist

Richmond, VA · On-site

$71 - $105/hr

Bachelor's degree in computer science, data analytics, statistics, machine learning, or related field * 2+ years of relevant experience in machine learning, artificial intelligence, model performance ...

CoStar Group

Data Scientist

Richmond, VA · On-site

Bachelor's degree in computer science, data analytics, statistics, machine learning, or related field * 2+ years of relevant experience in machine learning, artificial intelligence, model performance ...

CoStar Group

Data Scientist

Richmond, VA

Bachelor's degree in computer science, data analytics, statistics, machine learning, or related field * 2+ years of relevant experience inmachine learning,artificial intelligence,model performance ...

Pwc

US Tech - FTO Senior Associate

Richmond, VA · On-site

$55K - $187K/yr

... Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Luck Stone

AI Engineer

Manakin Sabot, VA

$152K/yr

Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field Preferred Education: Master's Degree or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a ...

Luck Stone Corporation

AI Engineer

VA · On-site

$152K/yr

Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field Preferred Education: Master's Degree or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a ...

Vcu Rrtc

Associate Professor/Professor

Richmond, VA · On-site

$90 - $150/hr

Artificial Intelligence, Autonomous Systems, and Computing * Human Health and Medicine ... Biomedical Engineering, Chemical and Life Science Engineering, Computer Science, Electrical and ...

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

As of Aug 23, 2026, the average hourly pay for entry level computer science artificial intelligence in Richmond, VA is $16.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $17.12 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 Richmond, VA?

The most popular types of Computer Science Artificial Intelligence jobs in Richmond, VA are:

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

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

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

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

Entry Level Computer Science Artificial Intelligence jobs near you

AI Research Scientist - Machine Learning

AIToolboard

Richmond, VA • On-site

$120 - $190/hr

Other

Posted 5 days ago

Job description

Jobs / AI Research Scientist - Machine Learning

AI Research Scientist - Machine Learning

Full-time

About the Role

Our client is seeking a brilliant and innovative AI Research Scientist specializing in Machine Learning to join their cutting-edge R&D team in Richmond, Virginia, US. This role is at the forefront of developing next-generation AI technologies and algorithms. You will be responsible for designing, implementing, and evaluating advanced machine learning models, conducting groundbreaking research, andcontributing to high-impact AI applications. The ideal candidate possesses a strong academic background, a deep understanding of ML principles, and a passion for pushing the boundaries of artificial intelligence.Key Responsibilities:Conduct advanced research in machine learning, deep learning, and related AI fields. Design, develop, and implement novel algorithms and models for complex AI problems. Experiment with various ML techniques, including supervised, unsupervised, reinforcement learning, and neural networks. Analyze large datasets, preprocess data, and extract meaningful features for model training. Evaluate model performance, identify areas for improvement, and iterate on designs. Collaborate with software engineers to deploy and integrate AI models into production systems. Stay current with the latest advancements in AI and ML research through literature review and conference participation. Publish research findings in leading scientific journals and present at conferences. Mentor junior researchers and interns, fostering a collaborative research environment. Contribute to the intellectual property portfolio through patent applications.Qualifications:Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Proven research experience demonstrated through publications in top-tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR). Strong theoretical foundation in machine learning, deep learning, and statistical modeling. Proficiency in programming languages such as Python, and experience with ML libraries like TensorFlow, PyTorch, scikit-learn. Experience with data manipulation and analysis tools. Ability to design and conduct rigorous experiments, interpret results, and draw insightful conclusions. Excellent problem-solving skills and creativity in developing novel solutions. Strong communication and presentation skills, with the ability to articulate complex technical concepts. Experience with distributed computing frameworks (e.g., Spark) is a plus. Experience in specific domains like NLP, computer vision, or reinforcement learning is highly desirable. Join a forward-thinking team that is shaping the future of AI. This exciting opportunity is based in Richmond, Virginia, US .

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