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How much do internship remote splunk jobs pay per hour?

As of May 29, 2026, the average hourly pay for internship remote splunk in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Splunk Intern, and why are they important?

To thrive as a Remote Splunk Intern, you need a basic understanding of IT systems, data analysis, and familiarity with scripting or programming languages, often supported by coursework in computer science or a related field. Experience with Splunk Enterprise, data visualization tools, and industry-recognized certifications like Splunk Core Certified User are valuable. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you stand out in this role. These skills are crucial for efficiently analyzing data, troubleshooting issues, and collaborating with teams in a virtual environment.

What kinds of projects or tasks can I expect to work on during a remote Splunk internship?

As a remote Splunk intern, you will typically assist with data analysis, dashboard creation, and troubleshooting within the Splunk platform. Common tasks include supporting the setup and optimization of Splunk environments, building queries and reports, and collaborating with IT or security teams to monitor and interpret system logs. You may also participate in team meetings, contribute to documentation, and assist with real-time incident investigations, providing a hands-on learning experience in data analytics and cybersecurity.

What is a Remote Splunk Internship?

A Remote Splunk Internship is a temporary position where interns work from a remote location to gain hands-on experience with Splunk, a popular data analysis and monitoring platform. Interns typically assist with tasks such as setting up Splunk environments, creating dashboards, analyzing data, and supporting IT operations or security teams. This role helps students or recent graduates develop valuable skills in data analytics, cybersecurity, and cloud technologies, often under the guidance of experienced Splunk professionals. The remote nature of the internship allows for flexible work arrangements and collaboration using digital communication tools.

What is the difference between Internship Remote Splunk vs Remote Security Analyst?

AspectInternship Remote SplunkRemote Security Analyst
Required CredentialsBasic knowledge of Splunk, possibly some certifications like Splunk Core Certified UserSecurity certifications such as CompTIA Security+, CISSP, or CEH often preferred
Work EnvironmentRemote, project-based, entry-levelRemote, ongoing security monitoring and incident response
Industry UsageIT, cybersecurity, data analysisCybersecurity, IT security
Search & Comparison IntentLearning Splunk in a practical settingMonitoring security threats and incident handling

Internship Remote Splunk roles focus on learning and applying Splunk for data analysis, often with entry-level tasks. Remote Security Analysts handle ongoing security monitoring, requiring more specialized security certifications. While both roles are remote and related to cybersecurity, they differ in responsibilities and experience level.

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Internship Remote Splunk jobs near you
Infographic showing various Internship Remote Splunk job openings in the United States as of May 2026, with employment types broken down into 11% Internship, 11% As Needed, 67% Full Time, and 11% Contract. Highlights an 86% Physical, 8% Hybrid, and 6% Remote job distribution, with an average salary of $34,624 per year, or $16.6 per hour.

Information Security Analyst - AI/ML Based - Remote

DivIHN

Remote

Contractor

Posted 3 days ago

Job description

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists, Vijay at 630-847-1776 or Amit at (224) 507-1290
Title: Information Security Analyst - AI/ML Based - Remote
Location: Remote (Candidates in all US locations may be considered, must be willing to support EST)
Duration: 6 Months with possibility of extension based on demand
Schedule: Monday - Friday, 8 AM - 5 PM, full-time, 40 hours. No OT anticipated
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Description:
We are seeking an Information Security Analyst to support and advance our security posture across data- and AI-driven initiatives. This role is ideal for a security professional early to mid-career who is eager to work at the intersection of information security, data governance, and artificial intelligence. You will help secure data pipelines, AI models, and platforms while also contributing to the development and deployment of AI-powered security solutions, including AI agents that automate or enhance security processes.
Responsibilities - AI Agents & Automation
• Support the design and creation of AI agents that enhance information security capabilities.
• Create and maintain automated agents to handle mundane and repeatable security requests, such as:
• Access and entitlement reviews
• Evidence collection for audits and compliance
• Policy guidance and security FAQs
• Intake and triage of security questionnaires and risk assessments
• Security documentation and reporting
• Define and implement guardrails for AI agents, such as:
• Role-based access controls and least-privilege permissions
• Human-in-the-loop approvals for sensitive or high-risk actions
• Logging, monitoring, and auditability of agent activity
• Clear escalation paths when confidence thresholds or policy boundaries are exceeded
• Collaborate with engineering, data, and AI teams to integrate AI agents into existing workflows
• Test and validate AI-driven security tools to ensure accuracy, reliability, and ethical use
• Participate in security reviews for new data and AI initiatives
• Define key performance indicators to measure the effectiveness of AI agent automation
• Building AI-based solutions/agents
• AI enablement focused
• Helping build more AI capabilities
• Cloud Security with AI
• Helping with MCP server - Infrastructure support [Model Context Protocol (MCP) server]
• Familiarity with AWS, Azure would be huge - Cloud Security
• Some developer background (like Splunk Automation Engineer, and related tiles in the past)
• Individual Contributor and will work with a team of 3-5 members
• Splunk, Qualys, and Nessus background
• Open to all industries but MFG preferred
• Client is building a product
• Understand how to automate and how to do AI enablement
• 2-3 years of AI experience
• Familiarity and hands-on experience using MCP, Azure, AWS, Splunk, Qualys, Microsoft security tools, OpenCode, Claude Code
Education, Experience, and Certifications
  • Bachelor's degree (preferred) in information security, Computer Science, Information Systems, Data Science, Engineering, or a related field,
  • OR HS Diploma/GED (minimum) with equivalent proven practical experience through relevant work, internships, bootcamps, or self-directed learning.
  • 5-7+ years of experience in one or more of the following:
    • Information security or cybersecurity
    • Cloud engineering, data engineering, or platform operations with security exposure
    • Hands-on experience supporting or securing:
      • Data platforms, analytics environments, or cloud infrastructure
      • APIs, applications, or internal tooling
      • Exposure to AI, machine learning, such as using and supporting AI/ML tools and platforms, building automations or AI-assisted workflows, participating in AI or data-related projects from a security perspective

Interview Process: Two Rounds - First Round Video Interview with Direct Manager, Second Round Panel Video Interview.

Apply