Jobs at Alice (Formerly ActiveFence)

Evaluate and red-team generative AI systems for biological safety and dual-use risks. Apply expertise in biosecurity, biosafety, pathogens, genetic modification, toxins, and biomanufacturing to develop actionable model-safety feedback. Monitor emerging biotechnology and governance developments, update safety benchmarks, assess LLM outputs, and communicate complex biological risks to AI safety and alignment teams.

Evaluate and strengthen Generative AI safety guardrails for chemical information. Conduct adversarial red-teaming, taxonomy audits, prompt research, and model evaluations to identify dual-use risks and prevent chemical harm enablement. Assess toxicological accuracy, clandestine synthesis content, and regulatory compliance. Document findings, rank risks, and communicate recommendations to safety and alignment teams while maintaining expertise in chemical conventions, precursor controls, and industrial safety standards.

Lead AI safety research across generative AI models, multimodal systems, and AI agents. Design scalable evaluation and red-teaming methodologies, investigate jailbreaks and prompt injection, assess content safety risks, manage multilingual datasets, document research findings, mentor junior researchers, and communicate mitigation recommendations to engineering, product, policy, and client teams.

Conduct Android malware research, reverse engineering, and static and dynamic analysis. Detect emerging threats and attack vectors, analyze applications for malicious behavior, write detection rules, develop automation, and document findings for threat intelligence reports. Collaborate across teams and share technical knowledge. Requires at least three years of relevant research, reverse engineering, or low-level development experience, programming proficiency, and familiarity with malware analysis tools.

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.

Conduct adversarial red-teaming of generative AI models against cyber-CBRNE threats. Design jailbreaks, adversarial prompts, multi-turn attacks, and scenario evaluations; assess safeguard bypasses and dangerous capability escalation; develop attack scenarios involving ICS, OT, critical infrastructure, laboratories, and hazardous facilities; document failure modes, reproduce vulnerabilities, classify severity, and recommend mitigations. Build repeatable test suites, adversarial datasets, evaluation rubrics, and risk taxonomies while tracking emerging AI security, cyber threat, and CBRNE risks.

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.

Lead AI safety role developing adversarial prompt strategies, owning end-to-end projects, mentoring junior analysts, managing multilingual abuse datasets, researching circumvention tactics, and partnering with engineering, product, and policy teams to secure generative AI models.

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.

Conduct in-depth OSINT and WEBINT research to identify online threats. Prepare analytical reports. Collaborate with teams to ensure quality outputs.

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.

Conduct OSINT/WEBINT investigations to detect and mitigate online threats, analyze cyber patterns, prepare reports, and collaborate with the research team.

As a CBRN expert at Alice.io, you will evaluate and create prompts for Generative AI systems, ensuring their safety and accuracy in CBRN contexts. You'll provide expert feedback and stay updated with relevant research and regulations.

Lead and scale AI red-teaming and security research teams to design and execute adversarial attacks against LLMs, generative and agentic AI, build automated red-teaming engines, evaluate adversarial behaviors, and partner with product and engineering to implement guardrails, monitoring, and secure deployment practices.