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.

• Review complex biochemical datasets, research findings, and protocols to provide accurate, expert-level annotation and validation.
• Develop and refine content, use cases, and scenarios based on current biochemistry practices for AI model training purposes.
• Assess the scientific validity and clarity of biochemistry-related prompts, model-generated outputs, and informational resources.
• Collaborate with technical teams to translate domain-specific insights into actionable feedback for improving AI systems.
• Identify knowledge gaps, ambiguities, and edge cases within biochemical content to enhance model robustness.
• Deliver clear, concise written and verbal explanations of complex concepts to inform AI training processes.
• Participate in iterative review cycles to ensure the ongoing accuracy and relevance of biochemistry inputs.

Work arrangement: Fully remote