In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

• Task Authoring & Review: Author and review realistic evaluation tasks based on medical education modules, advisory board summaries, scientific slide decks, HCP materials, and digital medical web content to inform AI tool development.
• Compliance & Structural Assessment: Apply expert judgment to evaluate whether AI-generated medical communications content complies with scientific accuracy standards, fair balance rules, and audience-appropriate framing (HCPs vs. patient audiences).
• Narrative & Messaging Evaluation: Evaluate tone, strategic messaging, clarity, and visual presentation logic in slide decks and educational assets, ensuring complex scientific concepts are accurately communicated without oversimplification.
• Source Attribution: Trace claims, infographics, and slide statements back to underlying scientific literature, trial data, and clinical summaries to ensure complete source data fidelity.
• Structured Feedback: Provide clear, structured, and detailed written feedback explaining model successes and deficiencies to help engineers tune model performance.
• Framework Refinement: Collaborate with project leads to establish benchmarks, quality rubrics, and evaluation frameworks for MedComms content generation.

• Minimum 5 years of experience in Medical Communications, Medical Education (MedEd), or Medical Affairs within a specialized agency, biotech/pharma sponsor, or consultancy.
• Advanced degree in life sciences, pharmacy, or medicine (PhD, PharmD, MD, MSc) or equivalent professional industry experience.

Work arrangement: Fully remote