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Research and analyze fraud detection mechanisms, abuse vectors, platform vulnerabilities, and emerging fraud tactics across web, mobile, social, forum, and dark web environments. Conduct OSINT and WEBINT investigations, validate abuse scenarios, operate technical research infrastructure, analyze datasets and telemetry, automate workflows, monitor third-party channels, and deliver actionable intelligence and mitigation recommendations.

Analyze generative AI content infringements and develop adversarial prompts to identify model vulnerabilities across hate speech, misinformation, intellectual property, and other abuse areas. Manage multilingual datasets, investigate safety circumvention tactics, oversee projects and quality assurance, and collaborate with engineering, product, and policy teams to improve AI safety strategies.

Investigate fraud methods and vulnerabilities across web, mobile, social media, forums, apps, and darknet platforms. Analyze intelligence sources and large datasets to identify malicious activity, behavioral vulnerabilities, and process bypasses. Monitor third-party channels, conduct OSINT investigations, and produce reports with actionable mitigation recommendations. The role may also support red-team exercises, automation, and scripting to uncover abuse methods.

Lead a multidisciplinary red teaming team to design and run adversarial tests, evaluate model risks, produce high-quality deliverables, and communicate findings to clients while improving methodologies and workflows.

Create adversarial prompt-injection tasks in YAML for RL Gym environments: define agent personas, simulated environments, adversarial payloads, benign user requests, run tasks against frontier models, validate success rates, and submit passing tasks with deterministic evaluation criteria.

Investigate and adjudicate complex online child safety cases involving sensitive content, analyze large review datasets for emerging threats and actionable signals, and develop Python or Bash automations to improve review workflows. Produce intelligence reports and policy recommendations, collaborate with engineering and AI teams on labeling quality and golden datasets, and support improvements to automated detection models. The role requires extensive child safety expertise, technical scripting ability, strong communication, and resilience to graphic content.

Analyze content infringements and write adversarial prompts to find model vulnerabilities across LLMs, text-to-image/video, and agents. Manage datasets and projects end-to-end, investigate evasion tactics, collaborate with engineering, product, and policy teams, and promote knowledge sharing to improve model safety.

The role involves conducting simulated cyber attacks, vulnerability assessments, risk analyses, and developing mitigation strategies for AI security technologies.

Join Alice.io as a GenAI Expert to design adversarial prompts and create diverse prompts that challenge AI systems, ensuring safety insights and cultural nuances. Native language fluency is preferred.

Lead a team of malware researchers, manage security research projects, enhance team reports, and collaborate on threat detection and response.