Remote AI Safety Red Team Specialist

Mercor; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Mercor is building a remote red team to probe AI safety. You will test conversational AI models and agents, including jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation.

You will generate high-quality human data, annotate failures, and produce reports, datasets, and attack cases that customers can act on. The role emphasizes clear communication, structured methods, and adaptability across projects and clients.

Qualifications

• Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
• Curious and adversarial mindset, able to push systems to breaking points.
• Structured approach using frameworks, benchmarks, or playbooks.
• Strong ability to explain risks clearly to technical and non-technical stakeholders.

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

AI adversarial testing

Cybersecurity

Socio-technical probing

Structured frameworks

Clear communication

Job description

Mercor is building a remote red team to probe AI safety. You will test conversational AI models and agents, including jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation.

You will generate high-quality human data, annotate failures, and produce reports, datasets, and attack cases that customers can act on. The role emphasizes clear communication, structured methods, and adaptability across projects and clients.