Freelance Adversarial AI Researcher | LLM Red Teaming | …, Gurugram

BrainBrowser builds the safety and alignment layer for frontier AI systems working with leading AI labs and foundational model developers on adversarial red teaming, jailbreak and vulnerability discovery, safety evaluations, and agent behavior testing. This role sits on the assurance side of that stack: finding where the model fails before it ships. The Role Design and execute prompt attacks across assigned safety policy categories. Document findings with structured reports. Identify patterns in what works and why. Contribute to prompt taxonomy development over time. What You'll Do
- Design and execute prompt attacks targeting specific policy violation categories: harmful instructions, manipulation, privacy violations, and others
- Work from the safety policy document Who We Need
- Robust adversarial thinking you find loopholes instinctively
- Familiarity with LLM behavior: system prompts, role-play, indirect instruction, multi-turn manipulation
- Comfortable reading and applying a detailed policy document
- Structured documentation habits
- Prior experience in one of: AI red teaming, offensive security, trust safety, content moderation, social engineering research Engagement: Fixed price per approved violation identified | 10 samples to start calibration batch Apply with: Send a short note on why this work interests you. This job is provided by Shine.com Apply on Kit Job: kitjob.in/job/4muxcb