Job Overview
We are seeking experienced professionals to rigorously test and evaluate AI-generated content.
The ideal candidate will help us identify vulnerabilities, assess risks, and ensure compliance with safety, ethical, and quality standards across various domains (e.g., finance, healthcare, security).
Key Responsibilities:
* Conduct thorough evaluations of large language models (LLMs) to uncover potential failure modes.
* Evaluate and stress-test AI prompts to assess accuracy, bias, toxicity, hallucinations, and misuse potential in AI-generated responses.
* Collaborate with data scientists, safety researchers, and prompt engineers to report risks and suggest mitigations.
* Develop evaluation frameworks and scoring rubrics for prompt performance and safety compliance.
* Document findings, edge cases, and vulnerability reports with high clarity and structure.
Requirements:
* Proven experience in AI red teaming, LLM safety testing, or adversarial prompt design.
* Familiarity with prompt engineering, NLP tasks, and ethical considerations in generative AI.
* Strong background in Quality Assurance, content review, or test case development for AI/ML systems.
* Understanding of LLM behaviors, failure modes, and model evaluation metrics.
* Excellent critical thinking, pattern recognition, and analytical writing skills.
* Ability to work independently, follow detailed evaluation protocols, and meet tight deadlines.