Remote AI Chemistry Problem Designer (PhD/Master)

Work Initiatives; Melbourne; Remote; AUD 83,000 - 152,000; Part time

Job summary

Alignerr is seeking Chemistry Researchers (Masters or PhDs) to design, solve, and evaluate advanced chemistry problems that train AI models to think like scientists. This is a fully remote, hourly contract role offering 10–40 hours per week.

Ideal candidates have a Masters/PhD in Chemistry and expertise across organic, inorganic, physical, or computational chemistry, with proficiency in Python or tools such as Gaussian or VASP. Fluency in English is required.

Qualifications

• Master's or PhD in Chemistry or closely related field.
• Strong expertise across organic, inorganic, physical, or computational chemistry.
• Familiarity with Python or computational chemistry tools such as Gaussian or VASP.
• Fluent in English.

Responsibilities

• Design and develop advanced chemistry problems with real-world scientific relevance for AI training.
• Solve and review complex problem sets for scientific accuracy, depth, and rigor.
• Craft nuanced problem statements to challenge AI reasoning.
• Collaborate asynchronously with AI researchers and domain experts to refine outputs.
• Evaluate and provide structured feedback on AI-generated chemistry content.
• Work independently on tasks with flexible scheduling.

Skills

Organic chemistry

Inorganic chemistry

Physical chemistry

Computational chemistry

Python

Gaussian

VASP

Education

Master's or PhD in Chemistry

Tools

Python

Gaussian

VASP

Job description

Alignerr is seeking Chemistry Researchers (Masters or PhDs) to design, solve, and evaluate advanced chemistry problems that train AI models to think like scientists. This is a fully remote, hourly contract role offering 10–40 hours per week.

Ideal candidates have a Masters/PhD in Chemistry and expertise across organic, inorganic, physical, or computational chemistry, with proficiency in Python or tools such as Gaussian or VASP. Fluency in English is required.