Offensive Security Testing
2 days ago
In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment—powered by their internal AI platform, ALAN, and backed by a vast talent network. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.
Offensive Security Testing
Experience: 3+ yrs
Employment Type: Contract to hire
Work Mode: Remote
Immediate joiners
2+ yrs hands-on offensive security or adversarial ML experience, including at least 1 yr on LLM or prompt-injection testing.
~ Deep fluency with both classic AppSec techniques (XSS, CSRF, SSRF) and LLM-specific issues (jailbreaks, hidden prompt channels).
~ Comfortable orchestrating attacks that chain browser automation, terminal commands, requests, and API calls.
~ Solid Python/bash; Working knowledge of privacy & financial-risk policies (GDPR, SOC2, or comparable).
Published research or conference talks on AI red-teaming (DEF CON, Black Hat, MLSecOps, etc.).
Familiarity with OpenAI policy taxonomy (PD1-PD5, FA1-FA3).
Certifications: OSCP, GXPN, or CCSK (cloud).
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