2 месяца назад
Threat Investigator (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Threat Investigator (AI): Detecting and responding to malicious use and abuse on an AI platform with an accent on investigative analysis, data querying, and threat actor identification. Focus on managing sensitive safety escalations, maintaining detection pipelines, and collaborating with internal stakeholders to mitigate risks.
Location: Must be based in the Asia-Pacific region and able to work Sydney hours (9am - 5pm AEST)
Company
provides safety and threat-intelligence layers for frontier AI labs, unicorns, and global technology platforms.
What you will do
- Proactively detect and reacquire bad actors on the platform.
- Investigate policy-violating activity using SQL, Python, and OSINT.
- Document and share investigative findings with internal stakeholders.
- Respond to urgent safety escalations and reactive leads.
- Maintain and develop detection pipelines for various abuse areas.
- Participate in an on-call rotation for urgent out-of-hours escalations.
Requirements
- 3+ years of investigative experience in Trust & Safety, National Security, Defense, or Law Enforcement.
- Must be based in the Asia-Pacific region with the ability to work Sydney business hours.
- Willingness to work on sensitive and distressing subject matter, including child safety and violent content.
- Strong proficiency in SQL and Python.
- Ability to participate in an on-call rotation including evenings and weekends.
- Strong technical investigative skillset with experience in detection pipelines.
Nice to have
- Expertise in AI platform risk and abuse.
- Professional proficiency in Arabic, Chinese, Korean, Japanese, Farsi, Portuguese, Russian, or Spanish.
- Experience scaling and automating detection and mitigation processes.
- Familiarity with language models for scaling investigations.
Culture & Benefits
- Remote-first work environment.
- Opportunity to work in a high-impact, fast-paced AI safety space.
- Engagement with cutting-edge adversarial red teaming and model evaluation.
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