ZipRecruiter

Log In

2

Entry Level Computer Science Artificial Intelligence Jobs in Colorado

Pwc

AI & GenAI Data Scientist - Manager

Denver, CO

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Analytics/Science, Artificial Intelligence and Robotics - At least one of the following:

New

next page

Showing results 1-20

All JobsComputer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence JobsEntry Level Computer Science Artificial Intelligence Jobs in Colorado

Entry Level Computer Science Artificial Intelligence information

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 the most commonly searched types of Computer Science Artificial Intelligence jobs in Colorado?

The most popular types of Computer Science Artificial Intelligence jobs in Colorado are:

What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Colorado?

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

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

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

What cities in Colorado are hiring for Entry Level Computer Science Artificial Intelligence jobs?

Cities in Colorado with the most Entry Level Computer Science Artificial Intelligence job openings:

Entry Level Computer Science Artificial Intelligence jobs near you
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Principal Researcher for AI Risk Management

Sensor Science Division | NIST

Boulder, CO • On-site

$118K/yr

Full-time

Posted 8 days ago

Job description

NIST is seeking an AI risk management expert to drive national leadership in trustworthy AI technology. You will maintain NIST's AI Risk Management Framework (AI RMF), develop related ITL guidelines such as the AI RMF Playbook, and foster community engagement to promote widespread AI RMF adoption and help others manage AI risk across sectors.
This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.

Qualifications:For the Computer Scientist ZP-1550
Basic Requirements:
Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and coursework must be from accredited or pre-accredited institutions.
For the ZP-1550-IV: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-12 level (ZP-III at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience drafting technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, either from a computational or behavioral and social sciences perspective.
  • Experience serving as a technical representative or coordinator in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees.
For the ZP-1550-V: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-14 level (ZP-IV at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience formulating, leading, or managing complex computer science projects or technology policy initiatives of considerable scope and impact related to AI/ML.
  • Experience developing and authoring technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, leveraging either computational or behavioral and social sciences perspectives.
  • Experience leading collaborative work in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees, to influence technology programs or technical consensus.

For the Social Scientist ZP-0101
Basic Requirements:
Degree: behavioral or social science; or related disciplines appropriate to the position.
OR
A combination of education and experience that provided the applicant with knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.
OR
Four years of appropriate experience that demonstrated that the applicant has acquired knowledge of one or more of the behavioral or social sciences equivalent to a major in the field.
For the ZP-0101-IV: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-12 level (ZP-III at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience drafting technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, either from a computational or behavioral and social sciences perspective.
  • Experience serving as a technical representative or coordinator in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees.
For the ZP-0101-V: In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience at the GS-14 level (ZP-IV at NIST). The specialized experience is defined as:
  • Experience conducting technical research or development work to study or implement artificial intelligence (AI) and machine learning (ML) tools.
  • Experience formulating, leading, or managing complex computer science projects or technology policy initiatives of considerable scope and impact related to AI/ML.
  • Experience developing and authoring technical papers, guidelines, or standards intended to guide a broad community of AI/ML practitioners regarding best practices for applying AI/ML and managing AI/ML risk, leveraging either computational or behavioral and social sciences perspectives.
  • Experience leading collaborative work in multi-stakeholder or interagency technology-related fora, such as working groups or standards committees, to influence technology programs or technical consensus.

Experience includes paid and unpaid experience, including volunteer work through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook. If requesting reconsideration of your qualification determination, please refer to the following site: Applicant ReconsiderationEducation:Social Scientist, ZP-0101: This position allows applicants to qualify with education. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Computer Scientist, ZP-1550: This position has an education requirement. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment.
Use of foreign education for qualifications. An accredited organization must evaluate education completed outside of the U.S. to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education's website. A copy of the foreign education evaluation (containing the results with a course-by-course listing) is required with your application.Employment Type: OTHER

Apply