AI Safety Red Team Expert, English and Vietnamese

Help strengthen conversational AI systems by probing them with adversarial inputs, identifying vulnerabilities, and creating high-quality safety data. This text-based role focuses on finding risks that automated testing may miss and turning findings into actionable reports, datasets, and attack cases. Key Responsibilities

• Red team conversational AI models and agents using jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation.
• Review AI outputs involving sensitive topics, including bias, misinformation, and harmful behaviors.
• Annotate model failures, classify vulnerabilities, and flag systemic risks.
• Use established taxonomies, benchmarks, and playbooks to conduct consistent testing.
• Create reproducible documentation and artifacts that support improvements to AI systems.

• Native fluency in both English and Vietnamese is required.
• Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
• Ability to use structured frameworks and benchmarks, communicate risks to technical and non-technical audiences, and adapt across projects and client needs.

• Adversarial machine learning, including jailbreak datasets, prompt injection, RLHF or DPO attacks, or model extraction.
• Cybersecurity, including penetration testing, exploit development, or reverse engineering.
• Socio-technical risk assessment, including harassment or disinformation probing, abuse analysis, or conversational AI testing.
• Creative adversarial thinking informed by psychology, acting, or writing.

• Remote, hourly position.
• All work is text-based.
• Participation in higher-sensitivity projects is optional. Topics will be communicated before exposure, with clear guidelines and wellness resources available.

17 to 25 per hour.

• Expand evaluation coverage across more scenarios and reduce unexpected production risks.
• Deliver reproducible findings that help make AI systems more robust, safe, and trustworthy.