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Intelligence Intern Jobs in Colorado (NOW HIRING)

Marketing Content Intern

Centennial, CO ยท On-site

$15.50 - $20.50/hr

Join Nelnet as an intern and do real work that matters to our business. All Nelnet interns receive ... Use of Artificial Intelligence in Hiring We may use automated or artificial intelligence enabled ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... intelligence. We collaborate closely with one of the top medical schools in the country and have ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... intelligence. We collaborate closely with one of the top medical schools in the country and have ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... intelligence. We collaborate closely with one of the top medical schools in the country and have ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... intelligence. We collaborate closely with one of the top medical schools in the country and have ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... intelligence. We collaborate closely with one of the top medical schools in the country and have ...

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Intelligence Intern information

See Colorado salary details

$7

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How much do intelligence intern jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for intelligence intern in Colorado is $16.30, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $18.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intelligence Intern, and why are they important?

To thrive as an Intelligence Intern, you typically need strong analytical abilities, research skills, and a background in international relations, political science, or a related field. Familiarity with open-source intelligence tools, data analysis software, and sometimes clearance processes or specialized training is often required. Strong written and verbal communication, attention to detail, and discretion set top candidates apart. These competencies ensure accurate intelligence gathering, effective teamwork, and the secure handling of sensitive information.

What is the difference between Intelligence Intern vs Intelligence Analyst?

AspectIntelligence InternIntelligence Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in relevant field, often with experience
Work EnvironmentInternship setting, learning-focusedFull-time professional environment, analytical tasks
Employer & Industry UsageGovernment agencies, defense, intelligence firmsGovernment, military, private security, consulting
Common Search & ComparisonOften compared for entry-level understandingMore experienced, responsible for analysis

Intelligence Interns are typically students or recent graduates gaining initial exposure to intelligence work, focusing on learning and support tasks. Intelligence Analysts are full-time professionals responsible for analyzing data, producing reports, and supporting decision-making. The internship serves as a stepping stone toward a career as an Intelligence Analyst, who holds more responsibility and requires relevant credentials and experience.

What does an Intelligence Intern do?

An Intelligence Intern assists experienced analysts in gathering, evaluating, and interpreting data related to security, defense, or law enforcement. Their tasks may include conducting research, preparing reports, and supporting ongoing investigations or projects. Intelligence Interns gain exposure to analytical techniques, security protocols, and the use of intelligence tools, helping them understand how intelligence informs decision-making and policy. These internships are typically offered by government agencies, military organizations, or private firms involved in security and intelligence.

What kinds of projects or tasks can an Intelligence Intern expect to work on during their internship?

As an Intelligence Intern, you can expect to support analysts by conducting open-source research, assisting in data collection, and helping to prepare briefings or reports on security-related topics. Interns often work closely with experienced intelligence professionals and may be tasked with monitoring current events, analyzing trends, and contributing to team meetings. This role offers exposure to real-world intelligence processes, collaboration with multidisciplinary teams, and opportunities to develop analytical and communication skills essential for a future career in intelligence.
What are the most commonly searched types of Intelligence jobs in Colorado? The most popular types of Intelligence jobs in Colorado are:
What are popular job titles related to Intelligence Intern jobs in Colorado? For Intelligence Intern jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Intelligence Intern jobs in Colorado look for? The top searched job categories for Intelligence Intern jobs in Colorado are:
What cities in Colorado are hiring for Intelligence Intern jobs? Cities in Colorado with the most Intelligence Intern job openings:
Graduate (3-12 month) Intern - Artificial Intelligence for Power System Operations

Graduate (3-12 month) Intern - Artificial Intelligence for Power System Operations

The National Renewable Energy Laboratory (NREL)

Golden, CO โ€ข On-site

$51K - $81K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago


Job description

Posting Title
Graduate (3-12 month) Intern - Artificial Intelligence for Power System Operations
Location
CO - Golden
Position Type
Intern (Fixed Term)
Hours Per Week
40
Working at NLR
NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.
Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
Job Description
This Grid Automation and Controls group at The National Laboratory of the Rockies (NLR) focuses on conducting high-impact projects to enhance power system modernization. We develop cutting edge solutions and work closely with industry and utility partners to enhance grid reliability, resilience, and security. Our team is looking for an intern who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural language processing, and/or foundation models. This is a 3-month internship opportunity with the potential to extend to 12- months. This internship can be done remotely or onsite.
Job responsibilities will include but are not limited to:
  • Collaborating with internal and external stakeholders to advance research projects
  • Developing innovative AI/LLM solutions to addressing emerging power system needs
  • Contributing and/or leading the writing of research papers
  • The ideal candidate should be able to conduct research work independently

To learn more about the work this group does, check out the following link: https://www.nlr.gov/grid/distributed-energy-resource-management-systems
Basic Qualifications
Minimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
โ€ข Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
โ€ข If selected for position, a letter of recommendation will be required as part of the hiring process.
โ€ข Must meet educational requirements prior to employment start date.
* Must meet educational requirements prior to employment start date.
Additional Required Qualifications
  • The successful candidate will have completed an undergraduate degree and either be enrolled in or recently graduated from a masters degree in computer science, data science, electrical engineering, or related fields, or be enrolled in a PhD program in these fields
  • Experienced in one of the following: natural language learning, large language models, foundation models, transformer models
  • Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications to complex systems
  • Strong in Python programming and other comparable programming languages
  • Self-motivated and be passionate to learn new things

Preferred Qualifications
  • Experience with other ML/AI techniques, including reinforcement learning and graph neural networks
  • Experience in using high performance computers, Linux systems
  • Experience in JavaScript, SQL, MongoDB, and developing interactive web-based dashboard and tools.
  • Familiar with power systems and know the basics of power flow

Job Application Submission Window
The anticipated closing window for application submission is up to 30 days and may be extended as needed.
Annual Salary Range (based on full-time 40 hours per week)
Job Profile: / Annual Salary Range: $51,200 - $81,900
NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits Summary
Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.
* Based on eligibility rules
Badging Requirement
NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.
Drug Free Workplace
NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Submission Guidelines
Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Reasonable Accommodations
E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.