AI Safety Expert - Red Team

Mercor; Johannesburg; Presencial; ZAR 1 453 000 - 2 098 000; Tempo integral

Resumo da oferta

Mercor is building a remote AI safety red team to rigorously test conversational models. You will expose vulnerabilities, annotate failures, and contribute to datasets and reports that help customers strengthen their AI systems.

The role demands prior red-teaming experience and a structured, communicative approach to documenting risks for diverse stakeholders across multiple projects.

Qualificações

• Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
• Structured thinker who uses frameworks or benchmarks, not ad-hoc hacks.
• Clear communicator who explains risks to both technical and non-technical stakeholders.
• Adaptable and able to move across projects and customers.

Responsabilidades

• Red team conversational AI models and agents: jailbreaking, 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.

Conhecimentos

Red teaming

AI security

Cybersecurity

Adversarial thinking

Descrição da oferta de emprego

Location: Remote

Fluent Language Skills Required: English & Portuguese (global, excluding Brazilian Portuguese). Native fluency in English and Portuguese (global, excluding Brazilian Portuguese) 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, and trustworthy