AI Tutor, Biophysical & Computational Chemistry Specialist
Summary
AI Tutor and subject matter expert in biophysical and computational chemistry responsible for designing rigorous chemistry prompts and evaluating AI model outputs to identify scientific reasoning breakdowns. This contract role directly contributes to improving AI model quality and safety in scientific domains. Responsibilities: Create and evaluate complex chemistry prompts across multiple chemistry subfields, apply adversarial prompting strategies to expose model errors, and assess the accuracy and scientific validity of AI-generated responses. Provide calibrated feedback to the team and contribute to quality standards for chemistry-focused AI evaluation. Skills: Expert-level knowledge of biophysical chemistry, computational chemistry, molecular simulations, kinetics, and thermodynamics with strong analytical and written communication abilities. Experience with adversarial prompting, AI data annotation, RLHF, and ideally computational chemistry tools (Gaussian, ORCA, MATLAB). Qualifications: PhD in Chemistry or closely related field with graduate-level expertise across multiple chemistry areas and permanent US residency. Prior hands-on experience in AI data annotation or RLHF required; peer-reviewed publications, teaching experience, and scientific annotation background strongly preferred. Location: Remote - United States Compensation: Not provided by employer. Typical compensation for this role is $75,000 – $110,000/year based on contract specialist status, PhD requirement, AI evaluation expertise, and remote US location.
About the Role
We're looking for a Biophysical & Computational Chemistry Specialist to to serve as a subject matter expert on AI model evaluation projects. You'll design rigorous chemistry prompts, assess model outputs at an expert level, and help identify where models break down in scientific reasoning
What You'll Do
- 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
What We're Looking For
- 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
Extra Credit
- Publications in peer-reviewed chemistry or physics journals.
- Experience with adversarial prompting, model evaluation, or AI red teaming strongly preferred
- Teaching, tutoring, or curriculum development experience in physical chemistry or theoretical sciences.
- Experience with computational chemistry tools (e.g., Gaussian, ORCA, MATLAB).
- Background in scientific annotation or technical quality assurance.
Additional Information
- Location: Fully remote (no visa sponsorship available)
- Schedule: 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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