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Chemistry Specialist (Masters/PhDs)

Alignerr

Data Annotation & Labeling Contractor
Remote (Global) $75 – $90/hr July 14, 2026

Job description

Chemistry Specialist (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 Chemistry Specialists — Masters and PhD-level experts — to design, solve, and evaluate advanced chemistry problems that train the next generation of AI models.

This is a fully remote, flexible contract role built for working scientists and researchers who want to apply their deep domain knowledge in a new and high-impact arena. No AI background needed — just rigorous scientific thinking and a passion for getting chemistry right.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Design and solve advanced chemistry problems with real-world scientific relevance — spanning organic, inorganic, physical, and computational chemistry
  • Review and evaluate AI-generated chemistry content for scientific accuracy, depth, and rigor
  • Craft complex, nuanced problem statements that challenge AI reasoning at the frontier of the field
  • Collaborate asynchronously with AI researchers and fellow domain experts to improve model performance
  • Ensure every deliverable meets the highest standards of scientific clarity and precision

Who You Are

  • Holds a Master's or PhD in Chemistry or a closely related field
  • Deep expertise in at least one of: organic, inorganic, physical, or computational chemistry
  • Comfortable working independently and producing high-quality written scientific content
  • Exceptionally detail-oriented — you notice when something is chemically wrong, ambiguous, or imprecise
  • Strong written communicator who can explain complex concepts with clarity
  • Fluent in English

Nice to Have

  • Experience coding in Python or working with computational chemistry tools (e.g., Gaussian, VASP, ORCA)
  • Prior involvement in data annotation, scientific evaluation, or AI training workflows
  • Background in research publishing, peer review, or academic instruction
  • Familiarity with AI tools or prompt-based evaluation platforms

Why Join Us

  • Work at the intersection of cutting-edge science and frontier AI research
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based scientific work
  • Apply your expertise to problems that genuinely matter — and that most scientists never get to tackle
  • Potential for ongoing work and contract extension as new projects launch
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