Chemistry Expert (Masters/PhDs) - AI Training
About The Role
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.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
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 strong 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 adaptable — 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