AI Safety Red Team Expert, English & Norwegian

Role Overview

Help strengthen conversational AI systems by probing them with adversarial inputs, identifying weaknesses, and producing human-generated safety data. This text-based role includes reviewing AI outputs involving sensitive topics, including bias, misinformation, and harmful behavior. Participation in higher-sensitivity projects is optional, with topics communicated before exposure and supported by clear guidelines and wellness resources.

Key Responsibilities

• Test conversational AI models and agents for jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation.
• Annotate failures, classify vulnerabilities, and identify systemic risks.
• Use taxonomies, benchmarks, and testing playbooks to conduct consistent evaluations.
• Create reproducible reports, datasets, and attack cases that teams can use to improve AI systems.
• Expand evaluation coverage by testing more scenarios and uncovering vulnerabilities that automated testing may miss.

Qualifications

• Native fluency in both English and Norwegian is required.
• Prior experience in AI red teaming, adversarial work, cybersecurity, or socio-technical probing.
• A curious, adversarial mindset and the ability to pressure-test systems systematically.
• Ability to explain risks clearly to both technical and non-technical audiences.
• Comfort adapting across projects and customers.

Preferred Specialties

• 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 research, including harassment or misinformation probing, abuse analysis, or conversational AI testing.
• Creative adversarial thinking informed by psychology, acting, or writing.

Work Terms

• Remote, hourly engagement.
• All work is text-based.

Compensation

$48 to $62 per hour.