Biology AI Training Specialist (Remote, Part-Time)

Anyone AI Inc.; Chile; Remote; CLP 32,225,000 - 53,708,000; Part time

Job summary

Anyone AI Inc. is looking for Biology experts to create high-quality STEM training data for frontier AI models. You will design challenging problems with exactly one verifiable correct answer, reflecting authentic biological workflows and analytical reasoning.

Remote role across biology topics, potentially spanning molecular, systems, computational biology, and bioinformatics. Proficiency in Python and related tools is required, with emphasis on rigor and reproducibility.

Qualifications

• Advanced degree in biology or related life sciences.
• Experience in computational or quantitative biological analysis.
• Strong Python skills with data analysis or bioinformatics experience.
• Clear written English and meticulous attention to detail.

Responsibilities

• Design advanced biology problems that challenge frontier AI systems.
• Create deterministic tasks with one correct answer.
• Submit complete, verified solutions.
• Build problems involving experimental reasoning, biological systems, computational analysis, or bioinformatics workflows.
• Use Python and, when relevant, specialized biology or bioinformatics tools.
• Ensure high standards of rigor, reproducibility, and technical clarity.

Skills

Reasoning ability

Written English

Attention to detail

Multi-step problem solving

Education

Master's or PhD in Biology or related life sciences

Tools

Python

Bioinformatics tools

Computational biology workflows

Job description

Anyone AI Inc. is looking for Biology experts to create high-quality STEM training data for frontier AI models. You will design challenging problems with exactly one verifiable correct answer, reflecting authentic biological workflows and analytical reasoning.

Remote role across biology topics, potentially spanning molecular, systems, computational biology, and bioinformatics. Proficiency in Python and related tools is required, with emphasis on rigor and reproducibility.