Remote Biology AI Trainer - Advanced Problem Designer

Anyone AI Inc.

Comisión de Fomento de Perú

Hybrid

ARS 50,119,000 - 83,531,000

Part time

14 days+
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Job summary

Anyone AI Inc. is building high-quality STEM training data for frontier AI models. We seek Biology experts to design deterministic problems with exactly one verifiable correct answer, reflecting authentic biological workflows and analytical tasks.

Responsibilities include designing advanced biology problems, providing complete, verified solutions, and using Python along with bioinformatics tools as needed. This is a remote, part-time role (20 hours/week) for 2 months with potential extension.

Qualifications

  • Master’s or PhD in Biology or related life sciences field.
  • Experience with computational or quantitative biological analysis.
  • Strong Python skills; data analysis or bioinformatics workflows preferred.
  • Clear written English and strong 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

Python
Data analysis
Bioinformatics workflows
Multi-step problem solving

Education

Master’s or PhD in Biology

Tools

Bioinformatics tools

Job description

Anyone AI Inc. is building high-quality STEM training data for frontier AI models. We seek Biology experts to design deterministic problems with exactly one verifiable correct answer, reflecting authentic biological workflows and analytical tasks.

Responsibilities include designing advanced biology problems, providing complete, verified solutions, and using Python along with bioinformatics tools as needed. This is a remote, part-time role (20 hours/week) for 2 months with potential extension.

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