Remote Adversarial ML Specialist — AI Safety Red Team

Obsidian; San Francisco (CA); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Job summary

Mercor is building a remote red team for AI safety. You will lead adversarial testing of conversational AI models, focusing on jailbreaks, prompt injections, misuse, and bias exploitation.

You will generate high-quality human data, annotate failures, classify vulnerabilities, and document findings in reproducible reports and datasets that help customers strengthen their AI systems. Ideal candidates bring prior red teaming experience, a curious adversarial mindset, structured approaches, and the

Qualifications

• Experience performing red team or adversarial testing on AI systems.
• Ability to articulate risks to technical and non-technical stakeholders.
• Familiarity with testing against bias, misuse cases, or safety prompts.
• Ability to document findings clearly and reproducibly.

Responsibilities

• Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation.
• 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 testing frameworks

Clear risk communication

Adaptability

Job description

Mercor is building a remote red team for AI safety. You will lead adversarial testing of conversational AI models, focusing on jailbreaks, prompt injections, misuse, and bias exploitation.

You will generate high-quality human data, annotate failures, classify vulnerabilities, and document findings in reproducible reports and datasets that help customers strengthen their AI systems. Ideal candidates bring prior red teaming experience, a curious adversarial mindset, structured approaches, and the