Note: The job is a remote job and is open to candidates in USA. Weekday AI is a company focused on AI training and scientific content, and they 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.
Responsibilities
- 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
Skills
- 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
- 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
Company Overview