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Entry Level Computer Science Artificial Intelligence Jobs in Columbia, SC

Undergraduate degree in Computer Science, Data Science, Artificial Intelligence, or a related field ; advanced degree preferred. * 1+ year of proven experience establishing proof-of-concept success ...

... 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 ...

Facilitates the preparation of owner/operation manuals and record drawings using CAD software ... including artificial intelligence (AI), to help identify and evaluate candidates. All hiring ...

Facilitates the preparation of owner/operation manuals and record drawings using CAD software ... including artificial intelligence (AI), to help identify and evaluate candidates. All hiring ...

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Entry Level Computer Science Artificial Intelligence information

See Columbia, SC salary details

$12

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

As of Aug 25, 2026, the average hourly pay for entry level computer science artificial intelligence in Columbia, SC is $15.66, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $16.01 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 popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Columbia, SC?

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

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

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

What cities near Columbia, SC are hiring for Entry Level Computer Science Artificial Intelligence jobs?

Cities near Columbia, SC with the most Entry Level Computer Science Artificial Intelligence job openings:

Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $32,564 per year, or $15.7 per hour.

Software Architect -Artificial Intelligence with Min 3yrs exp (Webcam Interview)(REMOTE_Local to Sou

Columbia, SC • On-site

NextGen Solutions Corporation
Recruiting and Staffing Services • 51 - 200 employees

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Please note that this position is with our direct client
We are looking for Software Architect - Consultant - Artificial Intelligence (Min 2+yrs Exp) REMOTE (Webcam Interview)
POSITION DESCRIPTION
DIRECT CLIENT Position
Number of positions: 1
Length: 12Months +
Work Address: 4South Carolina Columbia 29210
Immediate Interviews Webcam
looking for a Software Architect - Consultant (Artificial Intelligence)
As an artificial intelligence (AI) subject-matter expert, this position will support the State's AI Center of Excellence by providing technical expertise for the evaluation and responsible implementation of AI solutions.
Work Location: Fully Remote with occasional onsite visits required.
Candidate Location: Candidate MUST be a SC resident. No relocation allowed.
Position Title: AI Contractor
Project Overview
The role will contribute to the development of secure architectures, reusable technical patterns, prototypes and feasibility assessments; evaluate AI products, platforms, tools, models and services; and support statewide validation and approval processes for AI use cases and vendors. The position will also assist agencies in identifying opportunities, understanding risks and implementing AI strategies that align with organizational goals, security requirements and statewide standards.
Scope of the project:
As an artificial intelligence (AI) subject-matter expert, this position will support the State's AI Center of Excellence by providing technical expertise for the evaluation and responsible implementation of AI solutions. The role will assist state agencies and other government entities inassessing AI use cases, tools, risks and opportunities and developing secure, reusable technical approaches. The position will also contribute to statewide AI strategies and guidance that align with organizational goals and established governance, security and privacy requirements
Daily Duties / Responsibilities:
1. Support the development and implementation of AI strategies that align with organization's
goals and objectives
2. Contribute to the AI review and approval process for use cases and vendors, ensuring they meet established compliance and operational requirements across the state.
3. Support and promote the adoption of standardized AI processes.
4. Support the State's AI Center of Excellence by contributing technical expertise to the design of
secure architectures, development of reusable technical patterns, use case development, 5.prototyping, feasibility assessments and responsible implementation of AI solutions.
Develop and maintain a high level of expertise in AI, positioning Office of Information
Technology Services as a leader
Required/Desired Skills
Required skills(Please ensure candidate's relevant experience is listed with appropriate
supporting documentation)
  • 1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria
  • 2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms.
  • 2 years of experience designing and implementing AI agents and retrieval- augmented generation (RAG) solutions.
  • 1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation
  • 1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.
  • 1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.
  • 1 year of hands-on experience integrating AI capabilities with Azure and AWS.
Preferred Skills
Background in a variety of programming languages and principals.
Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural
language processing, image classification and time-series data.
Experience with data tools and techniques for storing, retrieving, and cleaning data.
Required Education:
Undergraduate degree in computer science, data science, artificial intelligence or related field
required; advanced degree preferred.
OTHER SKILLS/DUTIES:
Strong communication and knowledge-transfer skills.
Advanced report writing ability.
Excellent communication skills and relevant public speaking.
Experience working on complex projects
Candidates must have ALL the "Required" skills in order to be considered for the position. "Desired" or "Highly Desired" skills are a PLUS but may NOT be required.
Skill Matrix (Please fill the last two columns of this matrix)
Experience with Business workflow processes
Required / Desired
Amount of Experience
Years of Expe Years rience
Undergraduate degree in computer science, data science, artificial intelligence or related field required.
Required
Years
1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria
Required
1
Years
2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms
Required
2
Years
2 years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.
Required
2
Years
1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.
Required
1
Years
1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.
Required
1
Years
1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.
Required
1
Years
1 year of hands-on experience integrating AI capabilities with Azure and AWS.
Required
1
Years
Background in a variety of programming languages and principals.
Required
Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.
Preferred
Experience with data tools and techniques for storing, retrieving, and cleaning data.
Preferred