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Entry Level Ai Computer Science Jobs (NOW HIRING)

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Entry Level Ai Computer Science information

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$29.5K

$100.3K

$241.5K

How much do entry level ai computer science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for entry level ai computer science in the United States is $100,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $106,000.00 per year, depending on experience, location, and employer.

What are entry level AI computer science jobs?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

Is AI taking entry-level computer science jobs?

Entry-level AI and computer science roles are growing as demand for AI skills, programming, and data analysis increases. However, these jobs typically require foundational knowledge in programming languages like Python, machine learning frameworks, and problem-solving skills, making them accessible to recent graduates with relevant training. Competition exists, but acquiring practical experience and certifications can improve job prospects.

What are the key skills and qualifications needed to thrive as an Entry Level AI Computer Scientist, and why are they important?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, machine learning technician, data analyst, and research assistant, often requiring knowledge of programming languages like Python and familiarity with machine learning frameworks. These positions typically involve supporting AI development, data preprocessing, and model testing, and may require a bachelor's degree in computer science or related fields. Internships and apprenticeships in AI are also valuable starting points for gaining practical experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and sometimes ownership of significant projects. These roles usually involve leadership, strategic planning, and expertise in tools like deep learning frameworks and data analysis. Compensation at this level reflects the value of specialized knowledge and impact on business outcomes.

Can I get an AI job with no experience?

Entry-level AI jobs often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is beneficial, candidates can improve their chances by completing online courses, certifications, or personal projects to demonstrate their skills. Employers may also consider internships or apprenticeships for those new to the field.

What are some typical projects or tasks an entry-level AI computer science professional might work on during their first year?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.
More about Entry Level Ai Computer Science jobs
What cities are hiring for Entry Level Ai Computer Science jobs? Cities with the most Entry Level Ai Computer Science job openings:
What are the most commonly searched types of Ai Computer Science jobs? The most popular types of Ai Computer Science jobs are:
What states have the most Entry Level Ai Computer Science jobs? States with the most job openings for Entry Level Ai Computer Science jobs include:
Infographic showing various Entry Level Ai Computer Science job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.
AI Specialist

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life

Posted 5 days ago


Job description

Role Overview

We are seeking an entry level AI Specialist to join our core AI team. The primary focus will be on analyzing AI models and architectures. You will also help evaluate model behaviors and conceptualize emerging AI technologies.

Key Responsibilities

  • Model Analysis & Evaluation: Study, benchmark, and evaluate diverse AI models (potentially including LLMs, diffusion models, and classic machine learning architectures) to understand their emergent behaviors, limitations, and failure modes.
  • Architectural Exploration: Research and experiment with novel model architectures, fine-tuning methodologies, and optimization techniques to improve model efficiency and alignment.
  • Theoretical Problem Solving: Apply core computer science and mathematical principles to diagnose complex model behaviors, data biases, and generalization challenges.
  • Cross-Functional Knowledge Sharing: Act as an internal subject matter expert on AI theory, translating complex academic research into actionable insights for product and engineering teams.

Qualifications & Skills

  • Education: Bachelor’s degree in computer science with a formal concentration, minor, or heavy coursework focus in Artificial Intelligence and/or Machine Learning
  • Theoretical Foundation: Deep conceptual understanding of core AI pillars, including deep learning, neural network architectures, and search algorithms.
  • Mathematical Proficiency: Strong grasp of linear algebra, calculus, probability, and statistics as they relate to machine learning theory and optimization.
  • Technical Skills: Proficiency in Python and familiarity with major AI/ML frameworks (such as PyTorch or TensorFlow). Experience reading and implementing concepts from academic AI research papers is a major plus.

Benefits Offered

  • Employees of RIAA are eligible for comprehensive healthcare benefits on date of hire or the first of the month following date of hire. These include medical, dental, and vision insurance coverage as well as life, and disability insurance.