ZipRecruiter

Log In

2

Entry Level Ai Computer Science Jobs in North Carolina

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three pillars of the university's land-grant mission: education, research and service to the state of North ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three pillars of the university's land-grant mission: education, research and service to the state of North ...

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

The AI Architecture team is comprised of experts that span the full gamut from software ... Master's degree in Computer Science, Engineering, Information Systems, or related field * 3+ years ...

previous page

Showing results 41-60

All JobsAi Computer Science JobsEntry Level Ai Computer Science JobsEntry Level Ai Computer Science Jobs in North Carolina

Entry Level Ai Computer Science information

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 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.

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 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 most commonly searched types of Ai Computer Science jobs in North Carolina?

The most popular types of Ai Computer Science jobs in North Carolina are:

What are popular job titles related to Entry Level Ai Computer Science jobs in North Carolina?

For Entry Level Ai Computer Science jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Computer Science jobs in North Carolina look for?

The top searched job categories for Entry Level Ai Computer Science jobs in North Carolina are:

What cities in North Carolina are hiring for Entry Level Ai Computer Science jobs?

Cities in North Carolina with the most Entry Level Ai Computer Science job openings:

Entry Level Ai Computer Science jobs near you
Infographic showing various Entry Level Ai Computer Science job openings in North Carolina as of August 2026, with employment types broken down into 11% Internship, 57% Full Time, and 32% Part Time. Highlights an 83% In-person, 11% Hybrid, and 6% Remote job distribution.

Electrical Engineering & Computer Science Patent Agent - Raleigh

Direct Counsel

Raleigh, NC • On-site, Remote

$140K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Direct Counsel is partnered with an AmLaw 100 firm seeking mid-level patent agents to join their Electrical Engineering and Computer Science Patent Prosecution Practice Group. This position is open to all offices with emphasis on Atlanta, Denver, San Francisco, Seattle, St. Louis, Washington, DC, Houston, Kansas City, or Phoenix offices. Interested candidates must possess a high level of academic achievement, solid law firm, engineering, or industry experience, and superb writing and communication skills.

Responsibilities:

  • Prepare and prosecute patent applications in electrical engineering and software-related technologies

  • Conduct patentability searches and analysis

  • Draft responses to USPTO office actions

  • Collaborate with attorneys and clients to develop patent strategies

  • Review and analyze technical disclosures

Qualifications:

  • 2+ years of relevant patent preparation and prosecution experience

  • Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or Physics

  • Admission to the USPTO required

  • Excellent writing, communication, and analytical skills

  • Experience in data science, AI, networking technologies (including network security), machine learning, and hardware security is highly preferred

Compensation:

  • Salary range: $140,000 - $250,000 depending on experience

  • Discretionary performance-based bonus may be available

  • Eligible for firm benefits including: medical insurance, dental insurance, life insurance, disability insurance, voluntary vision insurance, 401(k) plan, and paid time off

Application Requirements:
Please submit a cover letter, resume, undergraduate transcript (and graduate when applicable), and writing sample (preferred patent application).