[Hiring] Biology Subject Matter Expert @Weekday AI

Role Description

We are seeking experienced Biology professionals to contribute their subject-matter expertise toward training next-generation AI systems. In this role, you will apply your scientific knowledge to improve AI reasoning, accuracy, and understanding through high-quality biological content, research analysis, and technical review. Prior AI experience is not required—your expertise in biology and scientific communication is the key qualification.

• Review, annotate, and provide expert feedback on biological datasets, scientific content, and educational materials.
• Author, evaluate, and edit laboratory reports, research papers, field studies, and technical documentation to ensure scientific accuracy and clarity.
• Develop and refine prompts, queries, and structured data that improve AI understanding of biological concepts.
• Identify inaccuracies, knowledge gaps, and ambiguities in AI-generated biological content, providing detailed corrections and recommendations.
• Collaborate with cross-functional teams and project managers to deliver high-quality outputs aligned with project objectives.
• Create educational and reference materials to support AI model training, validation, and benchmarking.
• Stay current with advancements in biology, life sciences, and emerging scientific research.

Qualifications

• Bachelor's, Master's, or PhD in Biology, Life Sciences, or a related discipline.
• Experience authoring laboratory reports, peer-reviewed publications, scientific research papers, or field study documentation.
• Strong understanding of biological concepts, experimental methods, and scientific research methodologies.
• Proven ability to analyze, interpret, and validate biological data from experimental or literature-based sources.
• Excellent written and verbal communication skills with strong scientific writing abilities.
• High attention to detail and commitment to scientific accuracy and quality.
• Ability to work independently in a fully remote and collaborative environment.

Requirements

• Experience reviewing scientific literature, educational content, or technical documentation.
• Background in research, academia, biotechnology, healthcare, pharmaceuticals, or life sciences.
• Familiarity with interdisciplinary scientific projects and remote collaboration.
• Passion for improving AI systems through high-quality scientific expertise.

Must-have Skills

• Biology
• Scientific Writing

Good-to-have Skills

• Research
• Life Sciences
• Data Analysis