AI Safety Red Team Engineer (Remote • EN/DA)

Neon; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Mercor is building a remote red-team for AI safety, focusing on adversarial testing of conversational models. You’ll craft attacks, annotate failures, and surface vulnerabilities while following established taxonomies and playbooks.

Documentation of results and reproducible attack datasets will help customers strengthen their AI systems. Successful candidates bring prior red-teaming or cybersecurity experience, are highly analytical, and can communicate risks clearly to technical and

Qualifications

• Red team experience in AI adversarial work or cybersecurity.
• Curious and adversarial; you instinctively push systems to breaking points.
• Structured approach using frameworks or benchmarks, not random hacks.
• Strong ability to communicate risks clearly to both technical and non-technical stakeholders.
• Adaptable: thrive on moving across projects and customers.

Responsibilities

• Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
• Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
• Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
• Document reproducibly: produce reports, datasets, and attack cases customers can act on

Skills

English

Danish

Job description

Mercor is building a remote red-team for AI safety, focusing on adversarial testing of conversational models. You’ll craft attacks, annotate failures, and surface vulnerabilities while following established taxonomies and playbooks.

Documentation of results and reproducible attack datasets will help customers strengthen their AI systems. Successful candidates bring prior red-teaming or cybersecurity experience, are highly analytical, and can communicate risks clearly to technical and