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Job summary
A leading educational organization is seeking a specialist in biology to write advanced Olympiad-style problems and evaluate AI-generated solutions for scientific rigor. The ideal candidate should hold a Master’s or PhD in biology or equivalent experience in competitive environments. Proficiency in LaTeX and strong analytical skills are essential. This role supports independent, remote work that emphasizes high scientific standards and precision.
Qualifications
Master’s or PhD in biology or related field, or equivalent competition experience.
Strong proficiency in LaTeX for technical writing.
Deep understanding of theoretical and experimental biology concepts.
Strong analytical reasoning and attention to detail.
Ability to work independently in a remote, research driven environment.
Responsibilities
Write original advanced Olympiad style biology problems.
Evaluate correctness and clarity of AI generated solutions.
Identify logical flaws in model outputs.
Provide clear, concise, and correct solutions formatted in LaTeX.
Maintain high standards of scientific precision and problem difficulty.
Skills
Advanced problem writing
Analytical reasoning
Attention to detail
Technical writing in LaTeX
Education
Master’s or PhD in biology or related field
Tools
LaTeX
Job description
Write original advanced Olympiad style biology problems to challenge frontier AI models.
Evaluate AI generated solutions for correctness, clarity, and reasoning rigor.
Identify logical flaws and insufficiently rigorous proofs in model outputs.
Provide clear, concise, and correct solutions formatted in LaTeX.
Maintain high standards of scientific precision and problem difficulty.
Requirements
Master’s or PhD in biology or related field, or experience in the International Biology Olympiad or equivalent competitions.
Strong proficiency in LaTeX for technical writing and formatting.
Deep understanding of theoretical and experimental biology concepts.
Strong analytical reasoning and attention to detail.
Ability to work independently in a remote, research driven environment.