Remote AI Adversarial Red Team Specialist (EN/SE)

Mercor; Stockholms kommun; Remote; SEK 853,000 - 1,422,000; Full time

Job summary

Mercor is seeking a skilled red team specialist to probe conversational AI models, focusing on jailbreaks, prompt injections, misuse scenarios, and bias exploitation. This remote role suits someone who thrives on adversarial testing across diverse projects.

You will generate high-quality human data, annotate vulnerabilities, and document reproducible attack cases for customers. Fluently in English and Swedish, you’ll explain risks clearly to technical and non-technical stakeholders while

Qualifications

• You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
• You’re curious and adversarial: you instinctively push systems to breaking points
• You’re structured: you use frameworks or benchmarks, not just random hacks
• You’re communicative: you explain risks clearly to technical and non-technical stakeholders
• You’re 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

Red teaming

Adversarial thinking

Cybersecurity

Structured testing

Communication

Job description

Mercor is seeking a skilled red team specialist to probe conversational AI models, focusing on jailbreaks, prompt injections, misuse scenarios, and bias exploitation. This remote role suits someone who thrives on adversarial testing across diverse projects.

You will generate high-quality human data, annotate vulnerabilities, and document reproducible attack cases for customers. Fluently in English and Swedish, you’ll explain risks clearly to technical and non-technical stakeholders while