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DataAnnotation is seeking an Incident Responder to evaluate how models perform during detection, triage, forensics, and containment. The role involves stress-testing the reasoning against logs and incident timelines to identify where models jump to conclusions.
You will document findings, craft corrective playbooks, and contribute to robust incident analyses. This remote-friendly opening emphasizes hands-on DFIR skills and clear written communication, with no degree required and flexible project
During an incident, models love a tidy story: one root cause, a clean timeline, a confident containment plan. Real intrusions are messier, and a model that misreads a log or clears an attacker too early does real damage. Someone has to catch that, and that someone is you.
As an Incident Responder you'll grade how models handle detection, triage, forensics, and write the analysis a seasoned responder would trust.
Common backgrounds: Incident Responder, DFIR Analyst, SOC Engineer.
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.