AI Red-Teamer - Remote

Overview

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. That’s why we’re building a pod of AI Red-Teamers: human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red-team data that makes AI safer for our customers.

In Short

• Red-team AI models and agents: jailbreaks, prompt injections, misuse cases, exploits
• 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
• Flex across projects: support different customers, from LLM jailbreaks to socio-technical abuse testing

Requirements

• 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

Benefits

• Build experience in human data-driven AI red-teaming at the frontier of safety
• Play a direct role in making AI systems more robust, safe, and trustworthy