• Develop and explain complex biological processes in clear, concise, and accurate language to support AI training datasets.
• Create, review, and enhance a wide range of biology questions across multiple domains, ensuring high standards of rigor and relevance.
• Evaluate AI-generated responses and provide expert feedback to improve model accuracy and depth in biology topics.
• Collaborate closely with AI engineers and data scientists to impart domain expertise and contextualize biological content.
• Identify gaps in AI model performance by analyzing response patterns and recommending targeted improvements.
• Maintain up-to-date knowledge of core biology concepts and integrate emerging research into training content.
• Utilize both written and verbal communication skills to articulate feedback, methodologies, and educational materials to interdisciplinary teams.

Required Skills and Qualifications

• Ph.D. or Master’s with significant experience in Biology or a closely related field.
• Demonstrated expertise in biological process explanation, from molecular biology to systems-level topics.
• Proven ability to write high-quality, well-structured questions spanning diverse biological domains.
• Strong foundation in core biology concepts, with the ability to convey complex ideas to both technical and non-technical audiences.
• Exceptional written and verbal communication skills, with a passion for clarity and educational impact.
• Experience collaborating in remote or cross-functional teams.
• Meticulous attention to detail and a commitment to scientific accuracy.

Preferred Qualifications

• Prior experience in AI model training, data annotation, or EdTech content development.
• Familiarity with the latest advancements in AI/ML as applied to life sciences.
• Track record of interdisciplinary teamwork within scientific and technical environments.