
Cybersecurity Practitioner – Paid Expert Interviews, SOC, Incident Response, Detection, AppSec
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in United States.
• Engage in two to three one-hour video discussions with the Mercor team over a period of approximately four weeks.
• Explore how enterprise cybersecurity operations are conducted, covering tools, workflows, and areas that require judgment.
• Clarify how teams assess triage, investigation, containment, threat hunting, detection rules, or patch quality.
• Highlight where AI assistance enhances or complicates current security operations.
• Offer insights on Mercor's preliminary AI cyber-defense task taxonomy, pointing out missing, mislabeled, or variably weighted tasks.
• Illustrate general trends without disclosing confidential information or specific incidents.
• No deliverables, labeling, or submissions are required.
• Must be a current or recently active practitioner in enterprise security.
• Applicable roles include SOC analysts and SOC leads (tier 2 and above).
• Experience in incident response and digital forensics is essential.
• Familiarity with detection engineering and threat hunting is required.
• Background in application security or product security engineering, specifically in identifying and resolving vulnerabilities in production code.
• Prior experience in managing or participating in a red team engagement is advantageous.
• Familiarity with EDR and SIEM solutions like CrowdStrike Falcon, Microsoft Defender and Sentinel, Splunk, SentinelOne, Elastic, or similar platforms is a plus.
• Security leaders are encouraged to apply if they remain closely aligned with the work.
• Candidates must reside in the United States.
• We are unable to accommodate H1-B or STEM OPT candidates at this time.
• Compensation for interview time as a spot bonus on an hourly basis.
• Payments are processed weekly via Stripe or Wise, based on services provided.
• Completely remote work that can be completed according to your own schedule.
• No preparation is required.
• Confidentiality measures ensure that your input is used solely to establish the benchmark and will never be attributed to you or your employer.
• Reasonable accommodations are available upon request.
• Chance to collaborate with leading researchers and contribute to the development of next-generation AI systems.
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