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Entry Level Ai Computer Science Jobs (NOW HIRING)

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Computer Science, Business, Data Science, or related field 0-2 years of professional experience ...

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... in Computer Science, Business, Data Science, or related field • 0-2 years of professional ...

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... in Computer Science, Business, Data Science, or related field ● 0-2 years of professional ...

... Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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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 22, 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 July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $100,265 per year, or $48.2 per hour.
Computer Science AI Adjunct Faculty

Computer Science AI Adjunct Faculty

University of La Verne

La Verne, CA • On-site

$27.04/hr

Full-time, Part-time

Re-posted 26 days ago


Job description

Posting Details
Posting Summary
Position Title
Computer Science AI Adjunct Faculty
Division
Provost
Major Department
College of Arts and Sciences
Department
Computer Science and Computer Engineering
Location
La Verne Main Campus
University Overview
Diversity Statement
The University supports a diverse and inclusive environment where students recognize and benefit from the life experiences and viewpoints of other students, faculty, and staff. Diversity is an active and intentional practice that supports difference and multiplicity to expand knowledge, educate capable citizens, develop the whole person, and serve our local and global communities. Promoting and sustaining diversity is a commitment to educational quality and the creation of positive, respectful learning communities.
Job Description
The University of La Verne is a private not-for-profit university founded in 1891 located in La Verne, California. The core values that we live by are Ethical Reasoning, Diversity and Inclusivity, Lifelong Learning and Community and Civic Engagement.
If you're passionate about these values, join us at the University of La Verne!
The Computer Science and Computer Engineering Department will accept applications on an ongoing basis from individuals interested in assignments teaching part-time for the undergraduate Computer Science program.
The successful candidate will be expected to provide instruction in a full range of Computer Science courses (Face to face and/or Online) including, but not limited to: Automata Theory, Artificial Intelligence, and Advanced Topics in Artificial Intelligence.
Further information regarding the department curriculum and its faculty may be obtained from the departmental website at: https://artsci.laverne.edu/compsci/
Required Qualifications
Adjunct faculty candidates must have a Master's degree in Computer Science or related field with Artificial Intelligence emphasis or experience from a regionally-accredited institution with at least two (2) years of teaching at the collegiate level or
or
Doctorate Degree in Computer Science or related field with Artificial Intelligence emphasis or experience from a regionally-accredited institution with at least two (2) years of teaching at the collegiate level.
or
The Equivalent. Certain combinations of education, professional experience, and other accomplishments in the field may be judged as equal to the stated minimum qualifications for this position.
Preferred Qualifications
Preference will be given to candidates who have prior teaching experience at the college or university level and who can furnish evidence of strong teaching.
Benefits Summary
Below is a list of benefits and perks offered to Adjunct Faculty:
* Benefit Hub (discount perks)
* Free Parking
* Adjunct Faculty Development Funds
* Staff discounted lunches at the Spot
* 10% off discount at the University of La Verne Bookstore and Graphics
* Tuition Remission (Senior Adjuncts)
* Contribution Retirement Plan (must meet hours) for Mandatory - Voluntary Contribution at anytime
* Medical (must meet hours)
* Utilize services offered at CTL and the wellness center.
Employment is contingent upon successful completion and clearance of a background check and employment verification.
Physical Demands Summary
Hiring Pay Rate
Hiring Salary Per Hiring Rank:
Adjunct Instructor (no terminal degree): $27.04
Adjunct Professor (with terminal degree): $28.08
Posting Detail Information
Posting Number
AF084P
Job Open Date
04/13/2023
Job Close Date
Open Until Filled
No
Special Instructions to Applicants
Advertising Summary