AI Safety Experts — English & Kannada

• Red team conversational AI models and agents including jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation.
• Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
• Apply structure by following taxonomies, benchmarks, and playbooks to maintain consistent testing.
• Document findings reproducibly by producing reports, datasets, and attack cases that customers can act on.

• Possess strong judgment about language and content, with the ability to determine if an AI response is accurate, complete, and appropriate, and explain the reasoning.
• Demonstrate rigor by noticing subtle errors, inconsistencies, and gaps that others might overlook.
• Work in a structured manner, adhering to guidelines and quality standards consistently.
• Communicate clearly, explaining reasoning to both technical and non-technical audiences.
• Be adaptable and thrive when moving across different projects, task types, and customers.

• Experience with Adversarial ML, including jailbreak datasets, prompt injection, RLHF/DPO attacks, and model extraction.
• Background in Cybersecurity, including penetration testing, exploit development, and reverse engineering.
• Knowledge of Socio-technical risk, including harassment/disinformation probing, abuse analysis, and conversational AI testing.
• Skills in Creative probing, such as psychology, acting, or writing for unconventional adversarial thinking.

Project and contracting process: Mercor. Applications continue on the provider's website.