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Entry Level Intelligence Jobs in Springfield, VA

Central Intelligence Agency

Case Officer

Washington, DC · On-site +1

$72K - $109K/yr

S. citizens with access to foreign intelligence vital to U.S. foreign policy and national security ... All DO officers are hired at an entry level and train as they are expected to work - as one team.

Spry Methods

HR Associate (Entry-Level)

Mclean, VA · On-site

This entry-level HR associate position provides an excellent opportunity for professional growth ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Spry Methods

HR Associate (Entry-Level)

Mclean, VA · On-site

This entry-level HR associate position provides an excellent opportunity for professional growth ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Spry Methods

HR Associate (Entry-Level)

Mclean, VA · On-site

This entry-level HR associate position provides an excellent opportunity for professional growth ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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All JobsEntry Level Intelligence JobsEntry Level Intelligence Jobs in Springfield, VA

Entry Level Intelligence information

See Springfield, VA salary details

$47.5K

$109.3K

$150.4K

How much do entry level intelligence jobs pay per year?

As of Jun 10, 2026, the average yearly pay for entry level intelligence in Springfield, VA is $109,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $123,800.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Intelligence Analyst, you need strong analytical thinking, research abilities, and a relevant bachelor's degree in fields such as international relations, political science, or criminal justice. Familiarity with data analysis tools, intelligence databases, and sometimes security clearance is typically required. Excellent written and verbal communication, attention to detail, and discretion are valuable soft skills that set candidates apart. These competencies are crucial for accurately interpreting information, protecting sensitive data, and supporting informed organizational decisions.

What types of training or mentorship can entry-level intelligence professionals expect to receive when starting their careers?

Entry-level intelligence professionals typically undergo comprehensive onboarding that includes both formal training and on-the-job mentorship. Training often covers analytical techniques, data security protocols, and the use of specialized software and databases. New hires are usually paired with more experienced analysts or supervisors, who provide guidance on real-world projects and help them navigate agency procedures. This structured support helps ensure a smooth transition into the team, fosters professional development, and builds essential skills for future advancement.

What is the difference between Entry Level Intelligence vs Data Analyst?

AspectEntry Level IntelligenceData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau often preferred
Work EnvironmentOffice or remote; entry-level roles in various industriesOffice setting; primarily working with data, reports, and analytics tools
Employer & Industry UsageUsed in intelligence agencies, security firms, or government rolesCommon in finance, marketing, healthcare, and tech industries

Entry Level Intelligence focuses on basic understanding and support roles in intelligence or security, often requiring minimal certifications. Data Analyst roles involve analyzing data sets, creating reports, and using specialized tools, typically requiring a degree and technical skills. While both are entry-level, Data Analysts tend to work more with data tools and analytics, whereas Entry Level Intelligence is more about supporting intelligence operations.

What are entry level intelligence jobs?

Entry level intelligence jobs are positions in government agencies, military branches, or private sector organizations that involve the collection, analysis, and reporting of information to support decision-making and security objectives. These roles typically require research, analytical thinking, and attention to detail, and may involve working with classified or sensitive data. Common entry level intelligence job titles include intelligence analyst, operations support specialist, and open-source analyst. Applicants usually need a bachelor's degree in a related field, strong communication skills, and may need to pass background checks or obtain security clearances.
What are the most commonly searched types of Intelligence jobs in Springfield, VA? The most popular types of Intelligence jobs in Springfield, VA are:
What are popular job titles related to Entry Level Intelligence jobs in Springfield, VA? For Entry Level Intelligence jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Intelligence jobs in Springfield, VA look for? The top searched job categories for Entry Level Intelligence jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Entry Level Intelligence jobs? Cities near Springfield, VA with the most Entry Level Intelligence job openings:
Entry Level Intelligence jobs near you
Infographic showing various Entry Level Intelligence job openings in Springfield, VA as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $109,303 per year, or $52.5 per hour.

Artificial Intelligence (AI) Assistant I

Starks Industries

Washington, DC • On-site

Full-time

Posted 7 hours ago

Job description

SUMMARY:
Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial intelligence initiatives through data preparation, model testing, system monitoring, governance, risk, and compliance (GRC) support activities, and research. Supports AI adoption initiatives aligned with agency mission priorities, cybersecurity requirements, federal compliance mandates, and digital transformation objectives. Contributes to the development of ethical, secure, transparent, and responsible AI solutions consistent with federal AI frameworks, risk management principles, and organizational governance standards. Assists with continuous monitoring, documentation, audit readiness, and automation efforts supporting AI operational integrity and regulatory compliance.
KEY DUTIES and RESPONSIBILITIES:
  • Assist with data collection, cleansing, validation, and organization for AI and machine learning projects
  • Support the development, testing, and validation of AI models under the guidance of senior technical staff
  • Monitor AI systems and report performance issues, anomalies, security concerns, compliance deviations, or opportunities for improvement
  • Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and operational controls
  • Assist in maintaining AI system documentation, inventories, risk registers, audit artifacts, and compliance tracking records
  • Participate in continuous monitoring activities for AI-enabled systems to support operational performance, cybersecurity posture, and regulatory compliance
  • Assist with implementing automated workflows, dashboards, alerts, and reporting mechanisms for AI operations and compliance monitoring
  • Conduct research on emerging AI tools, platforms, federal AI policies, cybersecurity standards, and industry best practices
  • Help document AI workflows, standard operating procedures (SOPs), governance processes, and technical procedures
  • Support internal stakeholders using AI-powered tools, automation platforms, and data-driven solutions
  • Collaborate with cross-functional teams including cybersecurity, compliance, legal, privacy, data governance, and IT operations personnel to integrate AI solutions into business operations
  • Assist in preparing reports, dashboards, presentations, and metrics related to AI initiatives, compliance activities, risk assessments, and operational performance
  • Support the identification, tracking, and mitigation of operational, cybersecurity, privacy, and AI model risks
  • Assists in the development, implementation, maintenance, and governance of AI-enabled solutions to improve operational efficiency, decision-making, automation, and data-driven outcomes
  • Support adherence to federal AI governance frameworks, cybersecurity standards, and agency compliance requirements

Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Cybersecurity, Information Assurance, or a related discipline
  • 0-2 years of relevant experience (internships or academic projects acceptable)
  • Basic understanding of artificial intelligence, machine learning, data analytics, cybersecurity, or governance and compliance concepts

Preferred Skills & Competencies
  • Familiarity with programming languages such as Python, R, or Java Familiarity with programming languages such as Python, R, Java, or scripting tools used for automation
  • Exposure to data analysis tools (e.g., Excel, SQL, Power BI, Tableau, or similar platforms)
  • Basic knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, or similar).
  • Familiarity with Governance, Risk, and Compliance (GRC) concepts, cybersecurity controls, or compliance monitoring processes
  • Exposure to automation, workflow orchestration, or monitoring tools used in IT or AI environments
  • Understanding of continuous monitoring principles, audit readiness, and operational reporting processes
  • Knowledge of federal IT environments, cloud platforms, AI governance frameworks, cybersecurity standards, or data governance policies
  • Familiarity with federal frameworks and standards such as NIST AI RMF, NIST CSF, RMF, FedRAMP, FISMA, or Zero Trust concepts.
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively in a team environment
  • Attention to detail and a strong commitment to quality and compliance
  • Experience supporting government clients or working in a regulated environment preferred

Required Knowledge, Skills, and Abilities (KSAs)
  • Foundational knowledge of AI/ML concepts, data analytics, governance, risk management, and statistical methods
  • Basic proficiency in programming languages such as Python, R, SQL, or similar technologies
  • Familiarity with data analysis and visualization tools (e.g., SQL, Excel, Power BI, Tableau, or equivalent)
  • Understanding of Governance, Risk, and Compliance (GRC) principles and continuous monitoring concepts
  • Ability to follow established procedures, security controls, governance standards, and federal compliance requirements
  • Knowledge of cybersecurity, privacy, and data protection principles in AI-enabled environments
  • Ability to identify, document, and escalate operational, compliance, or system risks
  • Strong analytical, organizational, and problem-solving skills
  • Effective written and verbal communication skills
  • Ability to support audit preparation, reporting, and documentation activities
  • Ability to work in a structured, compliance-driven, and mission-focused environment

Security Requirements
  • Ability to obtain and maintain a Public Trust or higher-level security clearance, as required by the contract

Supervision
  • Works under direct supervision with clearly defined guidelines. Receives technical guidance from senior AI, cybersecurity, compliance, governance, data, or engineering personnel.

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