Remote AI Safety Red Team Specialist

Mercor; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Mercor is building a red team for AI safety. This remote role focuses on adversarial testing of conversational AI models, with tasks including jailbreaks, prompt injections, and bias probing.

You will generate high‑quality human data, annotate vulnerabilities, and document reproducible attack cases for customers. Ideal candidates are experienced in AI red teaming, cybersecurity, and socio-technical risk, and can explain risks clearly to diverse stakeholders.

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

Job description

Mercor is building a red team for AI safety. This remote role focuses on adversarial testing of conversational AI models, with tasks including jailbreaks, prompt injections, and bias probing.

You will generate high‑quality human data, annotate vulnerabilities, and document reproducible attack cases for customers. Ideal candidates are experienced in AI red teaming, cybersecurity, and socio-technical risk, and can explain risks clearly to diverse stakeholders.