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Chemistry Expert Remote

YO AI Labs


Job Location:

California, CA - USA

Monthly Salary: Not provided by the employer
Posted: 23 July 2026 (30+ days ago)
Application Deadline: 20 October 2026
Vacancies: 1 Vacancy

Job Summary

Job Description

Role Title: Chemistry Expert

Role Type: Contract

Location: Remote


Scope of Work:

  • Produce authoritative accurate and well-explained responses to advanced chemistry queries aimed at AI model improvement emphasizing clarity and depth rather than rubric-based scoring.
  • Review and evaluate chemistry data questions and solutions to guarantee scientific accuracy completeness and current best-practice alignment.
  • Develop comprehensive explanations and justifications across a wide array of chemical concepts spanning foundational and specialized areas of chemistry.
  • Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
  • Create exemplary golden responses that set benchmarks for future model outputs ensuring consistency and reliability in training data.
  • Document context and rationale behind answers to assist model interpretability and future annotation efforts.
  • Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.

Preferred Qualifications:

  • PhD in Chemistry or a closely related scientific field with robust expertise in both foundational and advanced topics.
  • Proven ability to communicate intricate chemistry concepts with precision in both written and verbal forms.
  • Experience in developing reviewing or publishing scientific technical or educational chemistry materials (such as research articles curricula industry reports or peer reviews).
  • Familiarity with multiple sub-disciplines within chemistry (organic inorganic physical analytical materials science etc.) and the ability to adapt explanations for diverse audiences.
  • Exceptional attention to detail with a commitment to scientific accuracy and methodological rigor.
  • Experience with AI data annotation or digital content development projects is advantageous but not essential.
  • Strong collaboration skills particularly in remote or cross-functional environments.