Remote Chemistry Research Scientist for AI Benchmarking

Synthires

United States

Remote

USD 124,000 - 193,000

Full time

46 hours ago
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Job summary

Synthires is seeking a Chemistry Domain Expert for a remote, hourly contract in the United States. You will apply deep chemistry expertise to evaluate AI-reasoning on chemistry tasks, develop reference solutions, and design research benchmarks that measure model performance.

Responsibilities include assessing reaction mechanisms, thermodynamics, and spectral interpretations; crafting precise problem specifications; and collaborating with researchers to set evaluation criteria.

Qualifications

  • PhD in Chemistry, Chemical Engineering, or a closely related field.
  • Senior research experience as a faculty member, principal investigator, staff/senior scientist, or equivalent.
  • Specialization in at least one chemistry domain (organic, synthetic, physical, computational, inorganic, materials, analytical chemistry, or chemical biology).
  • Hands-on experience using large language models in professional or research work.
  • Excellent scientific judgment and written communication skills.

Responsibilities

  • Evaluate chemistry tasks and AI-generated outputs for scientific accuracy and feasibility.
  • Identify errors in reaction mechanisms, stoichiometry, thermodynamics, and spectral interpretation.
  • Develop precise problem specifications and rigorous reference solutions.
  • Design challenging, research-level chemistry problems and evaluation benchmarks.
  • Collaborate with researchers to establish clear evaluation criteria.
  • Provide structured feedback to improve AI reasoning and reliability.

Skills

Language models usage
Scientific judgment & writing

Education

PhD in Chemistry or related field

Job description

Synthires is seeking a Chemistry Domain Expert for a remote, hourly contract in the United States. You will apply deep chemistry expertise to evaluate AI-reasoning on chemistry tasks, develop reference solutions, and design research benchmarks that measure model performance.

Responsibilities include assessing reaction mechanisms, thermodynamics, and spectral interpretations; crafting precise problem specifications; and collaborating with researchers to set evaluation criteria.

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