Remote AI Red Team Engineer

Mercor; Kuala Lumpur; Remote; MYR 368,000 - 654,000; Full time

Job summary

Mercor is assembling a remote red team to test conversational AI systems, focusing on jailbreaks, prompt injections, bias exploitation, and multi-turn manipulation. The role involves generating high-quality labeled data, annotating failures, and flagging systemic risks for safer AI deployments.

You will follow established taxonomies and playbooks to ensure test reproducibility and deliver actionable reports and datasets for customers.

Qualifications

• Prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing).
• Curious and adversarial: push systems to breaking points.
• Structured: use frameworks or benchmarks, not ad-hoc hacks.
• Clear communication of risks to technical and non-technical stakeholders.
• Able to move across projects and customers with ease.

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 thinking

Structured workflow

Communication skills

Adaptability

Curiosity

Job description

Mercor is assembling a remote red team to test conversational AI systems, focusing on jailbreaks, prompt injections, bias exploitation, and multi-turn manipulation. The role involves generating high-quality labeled data, annotating failures, and flagging systemic risks for safer AI deployments.

You will follow established taxonomies and playbooks to ensure test reproducibility and deliver actionable reports and datasets for customers.