AI Safety Expert - Red Team

Mercor; Singapore; Remote; SGD 90,000 - 130,000; Full time

Job summary

Mercor in Singapore is seeking a remote red team specialist to probe AI models with adversarial inputs. You will simulate jailbreaks, prompt injections, and misuse cases to surface vulnerabilities before deployment.

You’ll annotate failures, classify risks, and produce reproducible reports and datasets that help customers strengthen their AI safety. Strong communication and a disciplined, framework-driven approach are essential.

Qualifications

• Prior red teaming experience in AI adversarial work or cybersecurity.
• Curious and adversarial mindset with a drive to push systems.
• Structured approach using frameworks or benchmarks.
• Able to clearly communicate risks to technical and non-technical audiences.
• Flexible and capable of moving across projects and customers.

Responsibilities

• Red team conversational AI models: jailbreaks, prompt injections, misuse cases.
• Generate high-quality human data: annotate failures and classify risks.
• Apply structure: follow taxonomies, benchmarks, and playbooks for testing.
• Document reproducibly: produce reports, datasets, and attack cases for customers.

Skills

Red team adversarial testing

Cybersecurity testing

Structured testing frameworks

Communication to stakeholders

Adaptability across projects

Education

Relevant CS/Engineering degree

Tools

Adversarial ML tools

Cybersecurity tools

Risk/assessment frameworks

RLHF/DPO attack concepts

Job description

Location

Remote

Fluent Language Skills Required

English & Malay. Native fluency in English and Malay is required for this position.

Why This Role Exists

At Mercor, we believe the safest AI is the one that’s already been attacked - by us. We are assembling a red team for this project - 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.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

What You’ll Do

• 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

Who You Are

• 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

Nice-to-Have Specialties

• Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
• Cybersecurity: penetration testing, exploit development, reverse engineering
• Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
• Creative probing: psychology, acting, writing for unconventional adversarial thinking

What Success Looks Like

• You uncover vulnerabilities automated tests miss
• You deliver reproducible artifacts that strengthen customer AI systems
• Evaluation coverage expands: more scenarios tested, fewer surprises in production
• Mercor customers trust the safety of their AI because you've already probed it like an adversary

Why Join Mercor

• 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, trustworthy