Job Title: Content Strategist
We are seeking a highly analytical professional with hands-on experience in content evaluation and strategy development for AI/LLM applications.
* Develop and execute comprehensive content strategies to ensure factual accuracy, coherence, and guideline adherence across model versions.
* Evaluate and stress-test AI-generated content across multiple domains (e.g. finance, healthcare, security) to identify potential failure modes.
* Create evaluation frameworks and scoring rubrics for content performance and safety compliance.
* Collaborate with data scientists, safety researchers, and prompt engineers to report risks and suggest mitigations.
Requirements:
* Proven experience in AI content evaluation, LLM 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.
Preferred Qualifications:
* Prior work with teams involved in LLM safety initiatives.
* Experience in risk assessment, red team security testing, or AI policy & governance.
Key Responsibilities:
* Perform manual QA and content validation across model versions.
* Document findings, edge cases, and vulnerability reports with high clarity and structure.
Benefits:
* Opportunity to work on cutting-edge AI projects.
* Collaborative team environment.