Content Review Specialist
We are seeking analytical professionals to rigorously test and evaluate AI-generated content for vulnerabilities, risks, and quality compliance.
Key Responsibilities:
* Conduct rigorous testing exercises to identify potential issues with large language models (LLMs).
* Evaluate AI prompts across finance, healthcare, security domains to uncover failure modes.
* Develop test cases to assess accuracy, bias, toxicity, hallucinations, and misuse potential in AI responses.
* Collaborate with data scientists to report risks and suggest mitigations.
* Perform QA and content validation ensuring factual consistency, coherence, and guideline adherence.
* Create evaluation frameworks and scoring rubrics for prompt performance and safety compliance.
Requirements:
* Proven experience in AI testing, LLM safety assessment, 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.
Preferred Qualifications:
* Prior work with teams focused on LLM safety initiatives.