What if your years of chemistry expertise could directly shape how AI reasons through the most complex scientific problems in the world? We're looking for Masters and PhD-level chemists to help build and train cutting-edge AI models — designing challenging, real-world chemistry problems that push AI to think the way a true expert does.
This is a fully remote, flexible contract role. No AI background needed — just deep domain knowledge and a passion for scientific rigor.
- Design, solve, and review advanced chemistry problems with real-world scientific relevance
- Apply your expertise in organic, inorganic, physical, or computational chemistry to create complex, nuanced problem statements
- Evaluate AI-generated chemistry content for scientific accuracy, depth, and clarity
- Collaborate asynchronously with AI researchers and other domain experts to improve model reasoning
- Ensure all deliverables meet high standards of scientific rigor and communicative precision
Who You Are
- Holds a Master's or PhD in Chemistry or a closely related field
- Deep expertise in one or more areas: organic, inorganic, physical, or computational chemistry
- Comfortable working with Python or computational chemistry tools such as Gaussian, VASP, or similar platforms
- Exceptionally detail-oriented with solid written communication skills in English
- Self-motivated and reliable when working independently on technical tasks
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with cheminformatics tools or molecular modeling software
- Background in academic research, scientific publishing, or peer review
- Experience communicating complex chemistry concepts to non-specialist audiences
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based scientific work
- Make a direct, tangible impact on how AI understands and reasons through complex science
- Potential for ongoing work and contract extension as new projects launch