Chemistry Expert (Remote - Turkey)

Anyone Ai

Deutschland

Remote

EUR 24.249 - 48.498

Teilzeit

14 Tage+

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Zusammenfassung

Anyone Ai is seeking experts in Chemistry for a remote part-time role focused on designing challenging problems used in AI training. This role requires creating deterministic tasks with clear, verifiable solutions that reflect real scientific workflows.

Ideal candidates will have a PhD in Chemistry, strong computational skills in both chemistry and programming, and experience with specialized software tools. The position offers flexible hours, compensation of up to 40 USD/hr, and is expected to last for 2 months, with potential for extension.

Qualifikationen

  • Expertise in chemistry with a focus on problem design.
  • Experience in developing deterministic and complex problems.
  • Proficient in Python and chemistry-related software tools.

Aufgaben

  • Design challenging chemistry problems for AI training.
  • Create tasks with verifiable solutions.
  • Document all tasks and ensure reproducibility.

Kenntnisse

Deep reasoning
Domain knowledge in Chemistry
Computational skills
Python programming

Ausbildung

PhD in Chemistry or related field

Tools

Chemistry simulation 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
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