Remote AI Red Team Specialist - Adversarial Safety

Obsidian; København; On-site; DKK 578,000 - 770,000; Full time

Job summary

Mercor is seeking a remote AI red-teaming specialist to probe conversational models, expose vulnerabilities, and produce actionable data. You will follow structured methodologies to ensure repeatable, high‑quality results across diverse projects.

The role emphasizes clear risk communication and adaptability across multiple customers and engagements. Success comes from uncovering hidden vulnerabilities and delivering artifacts that help customers strengthen their AI systems while operating in a

Qualifications

• Must have prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
• Curious and adversarial—able to push systems to breaking points.
• Structured in approach; use frameworks or benchmarks, not improvised hacks.
• Excellent communication skills to explain risks to technical and non-technical stakeholders.
• Able to move across projects and customers with ease.

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

red team experience

adversarial mindset

structured approach

clear communicator

adaptable across projects

Job description

Mercor is seeking a remote AI red-teaming specialist to probe conversational models, expose vulnerabilities, and produce actionable data. You will follow structured methodologies to ensure repeatable, high‑quality results across diverse projects.

The role emphasizes clear risk communication and adaptability across multiple customers and engagements. Success comes from uncovering hidden vulnerabilities and delivering artifacts that help customers strengthen their AI systems while operating in a