Job Overview
We are seeking analytical 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.
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Key Responsibilities:
* Conduct exercises to identify adversarial or unsafe outputs from large language models.
* Evaluate and stress-test AI prompts across multiple domains to uncover potential failure modes.
* Develop and apply test cases to assess accuracy, bias, toxicity, hallucinations, and misuse potential in AI-generated responses.
* Collaborate with data scientists and safety researchers to report risks and suggest mitigations.
* Perform manual QA and content validation across model versions, ensuring factual consistency and coherence.
* Create evaluation frameworks and scoring rubrics for prompt performance and safety compliance.
* Document findings, edge cases, and vulnerability reports with high clarity and structure.
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Requirements:
* Proven experience in AI testing, LLM safety testing, or adversarial prompt design.
* Familiarity with 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 and model evaluation metrics.
* Excellent critical thinking and analytical writing skills.
* Ability to work independently and meet deadlines.