Remote Computational Chemistry Problem Designer (Contract)

Anyone AI Inc.; United States; Remote; USD 33,000 - 55,000; Part time

Job summary

Anyone AI Inc. is seeking chemistry experts to design advanced, deterministic problems with exactly one verifiable correct answer.

You will craft tasks spanning computational chemistry, physical chemistry, analytical chemistry, and chemical engineering-adjacent work, using Python and specialized tools where needed. You will write concise, rigorous technical explanations in English and ensure tasks are reproducible and well-documented.

Qualifications

• Master's or PhD in Chemistry or 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

Strong writing

Attention to detail

Clear technical writing

Education

Master's or PhD in Chemistry

Tools

Python

Job description

Anyone AI Inc. is seeking chemistry experts to design advanced, deterministic problems with exactly one verifiable correct answer.

You will craft tasks spanning computational chemistry, physical chemistry, analytical chemistry, and chemical engineering-adjacent work, using Python and specialized tools where needed. You will write concise, rigorous technical explanations in English and ensure tasks are reproducible and well-documented.