Biology AI Training Expert (Denmark)

📋 Description

• • The Biology AI Training Expert role is critical to advancing the reasoning capabilities of frontier AI models by creating high-quality, scientifically rigorous training data in the life sciences domain. This position directly contributes to improving AI’s ability to understand and solve complex biological problems, supporting breakthroughs in AI-driven scientific discovery.
• • You will design advanced, deterministic biology problems that reflect authentic scientific workflows, ensuring each challenge has exactly one verifiable correct answer. Your work will involve crafting original, multi-step problems grounded in real biological practice, using Python and specialized bioinformatics tools when relevant, and submitting complete, verified solutions that meet the highest standards of technical clarity and reproducibility.
• • Anyone AI Inc. is a specialized AI data company focused on generating premium STEM training data for leading AI laboratories. The company operates at the intersection of scientific expertise and artificial intelligence, enabling AI models to reason more effectively in complex domains like biology, chemistry, and physics through expert-curated datasets.
• • As part of a remote, collaborative team of subject matter experts, you will deepen your ability to translate complex biological concepts into structured, AI-training-ready problems while strengthening your skills in problem design, computational reasoning, and scientific communication. This role offers the opportunity to contribute meaningfully to the development of next-generation AI systems while working flexibly on intellectually stimulating, high-impact projects.
• • Design advanced biology problems that challenge frontier AI systems by creating deterministic tasks with one correct answer rooted in authentic scientific practice.
• • Develop problems involving experimental reasoning, biological systems (e.g., molecular biology, genetics, systems biology), computational analysis, or bioinformatics workflows that require multi-step logical and quantitative thinking.
• • Use Python and, when applicable, specialized biology or bioinformatics tools (e.g., Biopython, pandas, BLAST, or structural biology software) to model, analyze, or validate problem components and solutions.
• • Submit complete, verified solutions with clear, step-by-step reasoning that ensure reproducibility and technical rigor, adhering to strict quality standards for AI training data.
• • Collaborate asynchronously with the AI training team to refine problem clarity, difficulty, and scientific accuracy, ensuring alignment with project goals for improving AI reasoning in scientific domains.
• • Maintain detailed documentation of problem design rationale, assumptions, and validation processes to support transparency and future reuse in model training pipelines.