Remote Chemistry AI Training Designer (Contract)

Anyone AI Inc.; Colombia; Remote; COP 107.019.000 - 178.365.000; Teilzeit

Zusammenfassung

Anyone AI Inc. is seeking experts in Chemistry to craft high-quality STEM training data for frontier AI models. This remote, part-time contract role (10–20 hours per week) runs for about 2 months with immediate start.

You will design advanced chemistry problems that require deep reasoning and domain knowledge, using Python and chemistry software where appropriate. Ideal candidates hold a Bachelor's, Master's, or PhD in Chemistry and have experience with computational workflows, modeling, and

Qualifikationen

• Bachelor's/Master's/PhD in Chemistry or related field.
• Experience in computational or quantitative chemistry workflows.
• Strong Python skills and familiarity with scientific libraries.
• Understanding of modeling and numerical approaches in chemistry.
• Ability to design original, challenging problems with clear solutions.

Aufgaben

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

Kenntnisse

Python

Technical writing

Chemical reasoning

Modeling

Ausbildung

Bachelor's/Master's/PhD in Chemistry

Tools

Chemistry tools / simulation packages

Jobbeschreibung

Anyone AI Inc. is seeking experts in Chemistry to craft high-quality STEM training data for frontier AI models. This remote, part-time contract role (10–20 hours per week) runs for about 2 months with immediate start.

You will design advanced chemistry problems that require deep reasoning and domain knowledge, using Python and chemistry software where appropriate. Ideal candidates hold a Bachelor's, Master's, or PhD in Chemistry and have experience with computational workflows, modeling, and