Chemistry Expert (Remote - Portugal)

Anyone Ai; Deutschland; Remote; EUR 24.249 - 48.498; Teilzeit

Zusammenfassung

Anyone Ai is seeking a Chemistry expert to design challenging problems for AI training. This remote, part-time role involves creating advanced tasks that require deep reasoning and computational skills.

The candidate should have a strong background in chemistry, with proficiency in Python and relevant tools. The position is contract-based, focusing on producing high-quality STEM training data over a duration of 2 months, with a flexible commitment of 10-20 hours per week.

Qualifikationen

• Experts in Chemistry with experience in designing complex problems.
• Proficiency in Python and technical documentation required.
• Familiarity with computational chemistry workflows.

Aufgaben

• Design difficult chemistry problems that reflect real scientific workflows.
• Create deterministic tasks with accurate solutions.
• Develop reasoning-intensive and computationally grounded problems.

Kenntnisse

Expertise in Chemistry

Problem design

Python programming

Use of specialized chemistry tools

Ausbildung

Degree in Chemistry or related field

Tools

Domain-specific chemistry software

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