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LinkedIn is seeking experienced IT Auditors and Technology Risk Professionals for a one-time, contractor-based interview on a remote basis. You will participate in a ~45-minute AI-led video interview and discuss real-world workflows in ERP reviews, control mappings, test plans, UAT evidence, and go-live readiness.
Applicants should have 5+ years in IT audit and related areas, with hands-on experience across change intake, risk assessment, and post-go-live follow-up.
We are seeking experienced IT Auditors and Technology Risk Professionals (IT Audit Managers, Technology Risk Consultants, or Systems Assurance Professionals) to provide expert insight as part of a project for our AI Marketplace. No preparation required - just your real-world experience.
This is a one-time, paid, project-based interview engaged on a contract basis - not a full-time role.
Location: U.S.-based experts only
Engagement: One-time, project-based interview
Work Type: Remote
Estimated rate: $85/hr (prorated for the 45-minute task)
What You'll Do
You’ll complete a ~45-minute recorded AI-led video interview where you explain how you actually do your work in practice.
This interview will focus on:
You will be asked to explain workflows specifically within: change intake, requirements and control review, test-plan assessment, access and segregation analysis, UAT evidence review, issue remediation, approval, and post-go-live follow-up.
What We're Looking For
About the Interview
The interview is designed to elicit step-by-step explanations of real workflows and decision-making processes, with an emphasis on detailed, experience-based responses rather than high-level summaries.
This is a project-based engagement. Selected participants will be paid for completing a recorded AI-led video interview; hourly rates are estimates based upon anticipated time of completion. Participants will control their own schedule, provide their own tools to complete the interview, and may participate in other opportunities as they choose.
Once you complete the interview, we’ll send your video recording and transcript, along with AI-generated insights, to the internal research team and AI lab partner. This data will be used to generate a structured list of tasks associated with your profession and for AI model improvement.
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