AI Safety Specialist - Remote

Mercor; Dublin; Remote; EUR 90,000 - 120,000; Full time

Job summary

Mercor in Ireland seeks experienced AI Safety Red Teamers to identify vulnerabilities in frontier AI systems through adversarial testing. You will design challenging prompts, uncover model weaknesses, and evaluate AI behavior across high-risk topics.

Responsibilities include stress-testing frontier AI models, identifying jailbreaks, unsafe behaviours, and policy failures; documenting vulnerabilities; and collaborating with researchers to improve alignment, robustness, and safety.

Qualifications

• Bachelor's degree or higher in a related discipline.
• 5+ years of AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or related field.
• Strong analytical reasoning, prompt design, and written communication skills.

Responsibilities

• Design adversarial prompts to stress-test frontier AI models.
• Identify jailbreaks, unsafe behaviours, hallucinations, and policy failures.
• Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other sensitive domains.
• Document vulnerabilities and contribute to safety benchmarking and red-teaming reports.
• Collaborate with AI researchers to improve model alignment, robustness, and safety.

Skills

Adversarial prompts

Prompt design

Analytical reasoning

Written communication

Education

Bachelor's degree or higher (CS, cybersecurity, journalism, communications, psychology, biology, chemistry, public policy, or related)

Job description

We are seeking experienced AI Safety Red Teamers to identify vulnerabilities in frontier AI systems through adversarial testing. You will design challenging prompts, uncover model weaknesses, and evaluate AI behavior across complex, high-risk, and ambiguous ("grey-area") topics.

Responsibilities

• Design adversarial prompts to stress-test frontier AI models.

• Identify jailbreaks, unsafe behaviours, hallucinations, and policy failures.

• Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other sensitive domains.

• Document vulnerabilities and contribute to safety benchmarking and red-teaming reports.

• Collaborate with AI researchers to improve model alignment, robustness, and safety.

Required Qualifications

• Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related discipline.

• 5+ years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a related field.

• Strong analytical reasoning, prompt design, and written communication skills.

• Experience designing adversarial prompts or evaluating frontier AI systems.

Preferred Qualifications

• Experience with AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety.

• Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation methodologies.

• Expertise in one or more grey-area domains, including cyber, biosecurity, political content, misinformation, or scientific safety.

Why Join?

• Help secure and strengthen the next generation of frontier AI models.

• Work on cutting-edge adversarial testing alongside leading AI researchers and safety teams.

• Influence how AI systems respond to complex, real-world safety challenges.