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This role involves applying deep chemical expertise to evaluate and enhance advanced AI systems by assessing scientific accuracy, mechanistic correctness, and quantitative reasoning of AI-generated responses to chemistry-related questions.
Responsibilities
- Review and evaluate AI-generated responses to chemistry-related questions for scientific accuracy, mechanistic correctness, and quantitative reasoning
- Create and refine prompts that guide AI behavior in chemistry contexts
- Verify chemical claims using domain expertise and authoritative public references
- Identify strengths, gaps, and errors in model outputs and provide structured, written feedback
- Assess clarity, organization, and suitability of explanations for different audiences
- Apply defined evaluation standards, benchmarks, and guidelines consistently across all tasks
Requirements
- Doctoral degree in chemistry or a closely related field
- Expertise in one or more areas such as organic, inorganic, physical, analytical, materials, or biological chemistry
- Strong written communication skills with the ability to explain complex chemical concepts clearly
- Experience reviewing, editing, or evaluating technical or academic content
- High attention to detail and scientific rigor
- Ability to work independently in a remote, project-based environment
- Legally authorized to perform contract work from your location
Qualifications
- Doctoral degree in chemistry or a closely related field
Nice to Have
- Experience with AI model evaluation, data annotation, or human-in-the-loop workflows
- Experience teaching, mentoring, or communicating scientific topics to non-expert audiences
- Familiarity with structured evaluation frameworks, benchmarks, or quality rubrics
Skills
Data Annotation
*
AI model evaluation
*
Human-in-the-loop workflows
*
* Required skills
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