Remote Chemistry AI-Training Problem Designer

Anyone AI Inc.

Polska

Hybrid

PLN 162,000 - 216,000

Part time

14 days+
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Job summary

Anyone AI Inc. is seeking experts in Chemistry to design advanced, deterministic problems with exactly one verifiable correct answer for high-quality STEM training data used in frontier AI models.

Projects involve computational chemistry, chemical engineering-adjacent workflows, and tasks requiring specialized software tools. Remote, contract-based work designed for 10–20 hours per week over a two-month period.

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.

Responsibilities

  • Design difficult chemistry problems that reflect real scientific workflows.
  • Create deterministic tasks with one correct answer and fully verified solutions.
  • Develop reasoning-intensive and computationally grounded problems.
  • Use Python and, where appropriate, chemistry tools or simulation packages.
  • Ensure all tasks are reproducible, technically precise, and clearly documented.
  • Write concise and rigorous technical explanations in English.

Skills

Python
Scientific libraries
Technical writing
Chemistry reasoning
Computational chemistry
Molecular modeling

Education

Master’s or PhD in Chemistry

Tools

Python
Cheminformatics tools
Molecular modeling software

Job description

Anyone AI Inc. is seeking experts in Chemistry to design advanced, deterministic problems with exactly one verifiable correct answer for high-quality STEM training data used in frontier AI models.

Projects involve computational chemistry, chemical engineering-adjacent workflows, and tasks requiring specialized software tools. Remote, contract-based work designed for 10–20 hours per week over a two-month period.

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