Chemistry Expert (Remote - Romania)

Anyone Ai; Deutschland; Remote; EUR 36.374 - 60.623; Teilzeit

Zusammenfassung

Anyone Ai is seeking a Chemistry expert to create high-quality STEM training data for leading AI labs. This part-time, remote position requires innovative problem design that challenges AI systems with deep reasoning and domain knowledge.

The selected candidate will develop deterministic chemistry tasks that reflect real scientific workflows, utilizing Python and specialized tools. The role offers up to 40 USD/hr for 10-20 hours a week, with a project duration of 2 months and potential for extension.

Qualifikationen

• PhD or advanced degree in Chemistry or related field preferred.
• Proven experience in problem design for scientific models.
• Ability to create reproducible and documentable tasks.

Aufgaben

• Design difficult chemistry problems reflecting scientific workflows.
• Create verification-ready tasks with clear, correct solutions.
• Utilize Python and specialized chemistry tools when necessary.

Kenntnisse

Expertise in Chemistry

Problem design

Python programming

Analytical skills

Tools

Domain-specific chemistry tools

Simulation packages

Jobbeschreibung

Location: Remote | Type: Contract / Part-time | Commitment: 10-20 hours per week | Compensation: Up to 40 USD/hr | Project duration: 2 months, with potential extension

About the role

We create high-quality STEM training data for frontier AI models that is directly used in training and evaluation workflows at leading AI labs. We are looking for experts in Chemistry to design advanced, deterministic problems with exactly one verifiable correct answer. These problems should challenge modern AI systems with deep reasoning, domain knowledge, and computational rigor. Projects may include computational chemistry, physical chemistry, analytical chemistry, chemical engineering‑adjacent workflows, and chemistry tasks requiring specialized software tools.

What you’ll do

• 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