AI Summary
Contribute to AI-driven cybersecurity analysis by analyzing realistic security events, assessing impact, and identifying remediation strategies. Work with top-tier research teams and enjoy freelance autonomy. Develop expertise in AI evaluation and data annotation workflows.
Key Highlights
Analyze realistic security events and alerts
Assess impact and identify remediation strategies
Develop AI evaluation and data annotation workflows
Key Responsibilities
Analyze realistic security events, alerts, and incident cases drawn from modern environments
Assess impact, determine root cause, and identify appropriate remediation strategies
Evaluate detection rules, alerting pipelines, and investigative playbooks for quality and accuracy
Review and validate AI-generated incident analysis to ensure it reflects real-world SOC operations
Provide structured, expert feedback that directly shapes how AI models reason about cybersecurity threats
Technical Skills Required
Benefits & Perks
Fully remote work
Freelance autonomy
Potential for ongoing work and contract extension
Nice to Have
Experience with threat hunting, digital forensics, or malware analysis
Familiarity with frameworks such as MITRE ATT&CK or NIST IR
Background in writing or reviewing detection logic and response playbooks
Prior exposure to AI evaluation or data annotation workflows
Job Description
Incident Response Analyst (AI Training)
About The Role
We're partnering with leading AI research labs to build the next generation of cybersecurity AI — and we need real security professionals to make it credible. As an Incident Response Analyst, you'll work with realistic incident data, security alerts, and investigation scenarios to ensure AI-driven analysis reflects how actual response teams think and operate.
This is a unique opportunity to directly influence how AI handles threat detection, incident triage, and digital investigations — work that matters well beyond any single engagement.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze realistic security events, alerts, and incident cases drawn from modern environments
- Assess impact, determine root cause, and identify appropriate remediation strategies
- Evaluate detection rules, alerting pipelines, and investigative playbooks for quality and accuracy
- Review and validate AI-generated incident analysis to ensure it reflects real-world SOC operations
- Provide structured, expert feedback that directly shapes how AI models reason about cybersecurity threats
Interested in remote work opportunities in IT & Network Engineering? Discover IT & Network Engineering Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 2+ years of hands-on experience in SOC analysis, incident response, or security operations
- Proficient with SIEM platforms, alert queues, and common investigation tooling
- Skilled at distinguishing meaningful threats from background noise
- Detail-oriented and able to communicate technical findings clearly in writing
- Self-motivated and comfortable working independently on task-based assignments
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience with threat hunting, digital forensics, or malware analysis
- Familiarity with frameworks such as MITRE ATT&CK or NIST IR
- Background in writing or reviewing detection logic and response playbooks
- Prior exposure to AI evaluation or data annotation workflows
- Work on frontier AI systems alongside top-tier research teams
- Fully remote and async — work on your own schedule, from anywhere
- Freelance autonomy with meaningful, intellectually engaging work
- Contribute to AI that will shape how cybersecurity investigations are conducted globally
- Potential for ongoing work and contract extension as projects evolve
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