SUMMARY: Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial ... Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and ...
SUMMARY: Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial ... Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and ...
SUMMARY: Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial ... Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and ...
SUMMARY: Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial ... Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and ...
Entry Level Grc information
See Silver Spring, MD salary details
$11.68 - $13.46
1% of jobs
$13.46 - $15.25
6% of jobs
$17.01 is the 25th percentile. Wages below this are outliers.
$15.25 - $17.03
18% of jobs
$17.03 - $18.82
23% of jobs
The median wage is $19 / hr.
$18.82 - $20.60
16% of jobs
$20.60 - $22.39
11% of jobs
$22.44 is the 75th percentile. Wages above this are outliers.
$22.39 - $24.17
8% of jobs
$24.17 - $25.96
7% of jobs
$25.96 - $27.74
5% of jobs
$27.74 - $29.53
2% of jobs
$29.53 - $31.31
2% of jobs
$11
$20
$31
How much do entry level grc jobs pay per hour?
Is 30 too old for cyber security?
What are the key skills and qualifications needed to thrive in the Entry Level Grc position, and why are they important?
To thrive as an Entry Level GRC (Governance, Risk, and Compliance) professional, you need a basic understanding of compliance frameworks, risk management principles, and analytical thinking, often supported by a bachelor’s degree in a related field. Familiarity with GRC platforms (like RSA Archer or ServiceNow GRC), basic Excel skills, and relevant certifications (such as CompTIA Security+ or ISO 27001 awareness) are valuable. Strong attention to detail, effective written and verbal communication, and collaboration skills set standout candidates apart. These competencies are crucial for maintaining regulatory standards, supporting audits, and ensuring organizational risk is managed effectively.
Is GRC an entry-level role?
Is it easy to get into GRC?
What are some typical responsibilities of an Entry Level GRC professional?
Entry Level GRC professionals often assist with documentation and review of compliance policies, help monitor risk activities, and support audit preparation by gathering evidence or updating records. They may work closely with more senior GRC analysts, IT, legal, and business teams to implement controls and address any identified gaps. Daily tasks can also include tracking regulatory changes, maintaining data in GRC software systems, and preparing reports for management. This role provides a solid foundation for building a career in compliance, risk management, or cybersecurity.
What is an Entry Level GRC job?
An Entry Level GRC (Governance, Risk, and Compliance) job involves assisting organizations in managing risk, ensuring regulatory compliance, and implementing governance frameworks. Responsibilities typically include conducting risk assessments, supporting audits, maintaining compliance documentation, and assisting with security policies. This role helps organizations protect sensitive information, follow industry regulations, and improve overall security posture. Strong analytical skills, attention to detail, and knowledge of compliance frameworks like SOX, GDPR, or ISO 27001 are beneficial.
What job makes $10,000 a month without a degree?
Full-time
Posted 7 days ago
Job description
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.