We're looking for experienced incident response professionals to help train and validate AI models designed to support real-world digital investigations and security operations. Analyze realistic security events, alerts, and incident cases to evaluate AI-generated responses. Provide structured, expert feedback to help AI systems improve their threat reasoning and response quality.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Incident Response Analyst (AI Training)
About The Role
We partner with the world's leading AI research teams to build and evaluate cutting-edge AI systems. We're looking for experienced incident response professionals to help train and validate AI models designed to support real-world digital investigations and security operations.
Your expertise will directly shape how AI understands and responds to security threats — making a meaningful impact on the next generation of cybersecurity tools.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze realistic security events, alerts, and incident cases to evaluate AI-generated responses
- Assess impact, root cause, and appropriate remediation paths for simulated and real-world scenarios
- Review and validate detection rules, alerting pipelines, and investigative playbooks
- Verify that AI-generated incident analysis accurately reflects how real security operations teams think and work
- Provide structured, expert feedback to help AI systems improve their threat reasoning and response quality
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- 2+ years of hands-on experience in SOC, incident response, or security operations
- Comfortable working with SIEM platforms, alert queues, and investigation tooling
- Skilled at distinguishing meaningful threats from background noise
- Able to communicate technical findings clearly in writing
- Self-motivated and comfortable working independently on task-based assignments
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- Experience with threat hunting, digital forensics, or red/blue team operations
- Familiarity with cloud security environments (AWS, Azure, GCP)
- Background in writing or reviewing detection rules and incident playbooks
- Prior experience with AI evaluation or data annotation workflows
- Work directly on frontier AI systems built for real-world cybersecurity use cases
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and collaboration with global security experts
- Contribute to meaningful work that shapes how AI handles cybersecurity challenges
- Potential for ongoing work and contract extension
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