Remote AI Safety Red Team Specialist

Mercor; New York (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

Mercor is building a remote AI red-team program to probe and stress test conversational models for bias, misuse, and safety concerns. The role involves designing adversarial tests, annotating data, and producing reproducible attack datasets to help customers strengthen their AI systems.

You will work across projects and customers, applying frameworks and structured playbooks while communicating risks clearly to both technical and non-technical stakeholders.

Qualifications

• Red team experience in AI adversarial work or cybersecurity.
• Curious and adversarial mindset, pushing systems to limits.
• Structured thinking using benchmarks and frameworks.
• Ability to communicate risks to technical and non-technical stakeholders.
• Adaptable to 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 team experience

Adversarial testing

Cybersecurity

Socio-technical risk

Structured thinking

Communication skills

Tools

Penetration testing

Reverse engineering

Job description

Mercor is building a remote AI red-team program to probe and stress test conversational models for bias, misuse, and safety concerns. The role involves designing adversarial tests, annotating data, and producing reproducible attack datasets to help customers strengthen their AI systems.

You will work across projects and customers, applying frameworks and structured playbooks while communicating risks clearly to both technical and non-technical stakeholders.