Biology AI Training Specialist (Remote, Part-Time)

Anyone AI Inc.; Finland; Remote; EUR 30,000 - 49,000; Part time

Job summary

Anyone AI Inc. is seeking experts in Biology to create deterministic, verifiable problems for frontier AI models. You will design advanced biology challenges across molecular biology, genetics, systems biology, computational biology, and bioinformatics workflows.

Responsibilities include producing tasks with a single correct answer, providing complete verified solutions, and using Python with relevant bioinformatics tools to ensure rigor and reproducibility.

Qualifications

• Master’s or PhD in Biology or related field.
• Experience with computational or quantitative biological analysis.
• Strong Python skills and data analysis or bioinformatics workflows preferred.
• Strong reasoning and multi-step scientific problem solving.
• Ability to create original, difficult problems grounded in real biology.
• Clear written English and 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

Biology knowledge

Data analysis

Bioinformatics workflows

English writing

Education

Master’s or PhD in Biology

Tools

Bioinformatics tools

Genomics workflows

Computational biology tools

Job description

Anyone AI Inc. is seeking experts in Biology to create deterministic, verifiable problems for frontier AI models. You will design advanced biology challenges across molecular biology, genetics, systems biology, computational biology, and bioinformatics workflows.

Responsibilities include producing tasks with a single correct answer, providing complete verified solutions, and using Python with relevant bioinformatics tools to ensure rigor and reproducibility.