Remote Chemistry AI Training Problem Designer (Contract)

Anyone AI Inc.; Greater London; Remote; GBP 25,000 - 42,000; Part time

Job summary

Anyone AI Inc. remotely seeks experts in Chemistry to design high-quality, deterministic problems for frontier AI training data.

You will craft tasks that require deep reasoning, domain knowledge, and rigorous computational approaches, using Python and chemistry tools as appropriate. We expect a Master’s or PhD in Chemistry with experience in computational workflows, excellent technical writing, and the ability to produce reproducible, verifiable solutions.

Qualifications

• Master’s or PhD in Chemistry or a related field.
• Research or industry experience involving computational or quantitative chemistry workflows.
• Strong Python skills; familiarity with scientific libraries.
• Strong understanding of modeling, numerical approaches, and chemical reasoning.
• Ability to design original, difficult problems that go beyond textbook recall.
• Excellent attention to detail and clear technical writing.

Responsibilities

• Design difficult chemistry problems that reflect real scientific workflows.
• Create deterministic tasks with one correct answer and full verified solutions.
• Develop reasoning-intensive and computationally grounded problems.
• Use Python and, where appropriate, domain-specific chemistry tools or simulation packages.
• Ensure all tasks are reproducible, technically precise, and clearly documented.
• Write concise and rigorous technical explanations in English.

Skills

Python

Chemistry reasoning

Technical writing

Education

Master’s or PhD in Chemistry

Tools

Cheminformatics tools

Simulation packages

Job description

Anyone AI Inc. remotely seeks experts in Chemistry to design high-quality, deterministic problems for frontier AI training data.

You will craft tasks that require deep reasoning, domain knowledge, and rigorous computational approaches, using Python and chemistry tools as appropriate. We expect a Master’s or PhD in Chemistry with experience in computational workflows, excellent technical writing, and the ability to produce reproducible, verifiable solutions.