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Entry Level Ai Computer Science Jobs in Denver, CO

Anduril Industries

Research Scientist

Broomfield, CO · On-site

$126K - $167K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science ...

CACI International, Inc.

AI/ML Engineer

Aurora, CO · On-site

AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS ... MS or PhD in machine learning, computer science, mathematics, or relevant fields * Experience ...

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All JobsAi Computer Science JobsEntry Level Ai Computer Science JobsEntry Level Ai Computer Science Jobs in Denver, CO

Entry Level Ai Computer Science information

See Denver, CO salary details

$30.4K

$103.2K

$248.6K

How much do entry level ai computer science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for entry level ai computer science in Denver, CO is $103,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $109,100.00 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 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 Denver, CO?

The most popular types of Ai Computer Science jobs in Denver, CO are:

What are popular job titles related to Entry Level Ai Computer Science jobs in Denver, CO?

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

What job categories do people searching Entry Level Ai Computer Science jobs in Denver, CO look for?

The top searched job categories for Entry Level Ai Computer Science jobs in Denver, CO are:

What cities near Denver, CO are hiring for Entry Level Ai Computer Science jobs?

Cities near Denver, CO 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 Denver, CO as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% In-person job distribution, with an average salary of $103,201 per year, or $49.6 per hour.

Principal Researcher for AI Risk Management

Sensor Science Division | NIST

Boulder, CO

$118K/yr

Full-time

Posted 4 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

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