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Entry Level Ai Computer Science Jobs (NOW HIRING)

... 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 ...

... 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 ...

... 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 ...

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. * 2+ years of professional experience in software engineering or machine learning. * Proficiency in ...

... 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 Aug 12, 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 is an entry level AI computer science job?

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.

What are the key skills and qualifications needed to thrive as an entry level AI computer scientist?

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 do entry level AI computer science professionals do?

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:
What job categories do people searching Entry Level Ai Computer Science jobs look for? The top searched job categories for Entry Level Ai Computer Science jobs are:
Infographic showing various Entry Level Ai Computer Science job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $100,265 per year, or $48.2 per hour.

Computer Sciences - Graduates - AI Training - Albuquerque, US

Prolific

Remote

Full-time

Re-posted 23 days ago


Job description

Job Summary:
Prolific is building the biggest pool of quality human data in the world. They are seeking Computer Science Specialists to join their Expert Network to help train and evaluate cutting-edge AI models.
Responsibilities:
• AI Evaluation & Ranking: comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety.
• Scientific Review: reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity.
• Fact-Checking: identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings.
• RLHF (Reinforcement Learning from Human Feedback): providing the human "ground truth" to help models align with professional standards in software engineering and data science.
• Code & Logic Verification: auditing AI-generated code snippets or architectural diagrams for structural and functional correctness.
Qualifications:
Required:
• Educational Background: at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field.
• Technical Literacy: ability to interpret research papers, understand complex algorithms, and review code logic.
• Analytical Mindset: high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws.
• Professional Verification: a valid LinkedIn profile to verify your degree and background during the screening process.
• A PayPal account to receive payment from our clients.
Company:
Building the most advanced global infrastructure for People Science. Founded in 2014, the company is headquartered in London, GBR, with a team of 51-200 employees. The company is currently Growth Stage.