AI Content Specialist – Adoption

Responsibilities

• Quality-assure AI-generated content:
  Review a sample of the use cases our AI content generation system produces for accuracy, working prompts, realistic outputs, and credible time savings.
• Improve the system, not just the output:
  Identify patterns in where generation falls short and feed those insights back so the library gets better over time.
• Keep content current:
  Use an AI-assisted process to identify use cases affected by tool changes and update them, keeping the library free of stale or inaccurate guidance.
• Curate the knowledge base:
  Maintain the generic and customer-specific knowledge bases of best practices and AI tool documentation.
• Support governance and feedback:
  Triage user feedback on content, route it appropriately, and act on it.

• Editorial judgement and quality instinct (required)
• Hands-on AI building skills (required)
• Evals fluency (required)
• A bias toward effectiveness over volume
• Rigour and data fluency
• Bias to action and comfort with ambiguity
• Bonus experience:
  Experience in learning design, instructional design, content strategy, or technical writing/editing
• Experience designing for or working in technical or AI disciplines
• Prior exposure to LLM evaluation tooling or platforms (e.g. LLM-as-judge frameworks, offline/online eval tooling) beyond the foundational fluency described above

• AI Content Generation
• Content Curation
• Knowledge Base Maintenance
• User Feedback Triage
• Pattern Identification

• Bias Toward Effectiveness
• Comfort with Ambiguity
• Bias to Action