Remote Chemistry Problem Designer for AI Training

Anyone AI Inc.; France; À distance; EUR 39 000 - 56 000; Temps partiel

Résumé du poste

Anyone Ai seeks chemistry experts to design advanced, deterministic problems for frontier AI training data. This remote, part-time role runs 10-20 hours per week for about 2 months, with potential extension. You will craft reproducible, rigorously solved chemistry tasks and provide concise explanations in English.

Work involves computational chemistry and related workflows, using Python and relevant tools to ensure high-quality, verifiable problems for AI models.

Qualifications

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

Responsabilités

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

Connaissances

Strong Python skills

Chemical reasoning

Modeling

Numerical methods

Clear technical writing

Formation

Master’s or PhD in Chemistry

Outils

Python

Cheminformatics tools

Description du poste

Anyone Ai seeks chemistry experts to design advanced, deterministic problems for frontier AI training data. This remote, part-time role runs 10-20 hours per week for about 2 months, with potential extension. You will craft reproducible, rigorously solved chemistry tasks and provide concise explanations in English.

Work involves computational chemistry and related workflows, using Python and relevant tools to ensure high-quality, verifiable problems for AI models.