Job Description:
• Create and evaluate complex chemistry prompts across biophysical chemistry, computational chemistry, molecular simulations, kinetics and thermodynamics
• Apply adversarial prompting strategies to induce and document model reasoning errors
• Critically assess the accuracy, depth, and scientific validity of AI-generated responses
• Contribute to quality standards and provide calibrated feedback to the broader team
Requirements:
• PhD in Chemistry or a closely related field
• Graduate-level expertise across multiple areas of Chemistry
• Permanently based in the US
• Prior hands-on experience in AI data annotation or RLHF
• Excellent written communication and analytical skills
• Publications in peer-reviewed chemistry or physics journals (extra credit)
• Experience with adversarial prompting, model evaluation, or AI red teaming strongly preferred (extra credit)
• Teaching, tutoring, or curriculum development experience in physical chemistry or theoretical sciences (extra credit)
• Experience with computational chemistry tools (e.g., Gaussian, ORCA, MATLAB) (extra credit)
• Background in scientific annotation or technical quality assurance (extra credit)
Benefits:
• Flexible hours — contribute as much or as little as you’d like each week. (No minimum hours per week, capped at 40hrs/week.)
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