Remote AI Safety Red Team Specialist

Mercor; San Francisco (CA); Remote; USD 90,000 - 140,000; Full time

Job summary

Mercor is building a red team to probe AI models with adversarial inputs, surface vulnerabilities, and generate red team data that strengthens safety for customers. This is a text-based, higher-sensitivity project where participation is optional and guided by clear guidelines and wellness resources.

You will red team conversational AI models, generate high-quality data, apply structured taxonomies, and document reproducibly in reports and datasets that customers can act on.

Qualifications

• Prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing).
• Curious and adversarial mindset, pushing systems to breaking points.
• Structured approach using frameworks or benchmarks, not ad hoc hacks.
• Strong ability to explain risks clearly to technical and non-technical stakeholders.
• Willingness to adapt 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 AI

Structured thinking

Clear communication

Adaptability

Job description

Mercor is building a red team to probe AI models with adversarial inputs, surface vulnerabilities, and generate red team data that strengthens safety for customers. This is a text-based, higher-sensitivity project where participation is optional and guided by clear guidelines and wellness resources.

You will red team conversational AI models, generate high-quality data, apply structured taxonomies, and document reproducibly in reports and datasets that customers can act on.