AI Tutor, Electrochemistry & Functional Materials Specialist
Summary
Serve as a subject matter expert in electrochemistry and functional materials to evaluate and stress-test AI model performance on complex chemistry tasks. Design rigorous prompts, assess scientific validity of AI outputs, and identify reasoning failures to improve model quality. Responsibilities: Create and evaluate complex chemistry prompts across electrochemistry, functional materials, surface chemistry, and solid-state chemistry; apply adversarial prompting strategies to induce model errors; assess accuracy and scientific validity of AI-generated responses; provide calibrated feedback to the team. Skills: Expert-level knowledge of electrochemistry, functional materials, and physical chemistry; proficiency in adversarial prompting and AI model evaluation; excellent written communication and analytical skills; experience with scientific annotation and quality assurance preferred. Qualifications: PhD in Chemistry or closely related field with graduate-level expertise across multiple chemistry domains; permanently based in the US with prior hands-on experience in AI data annotation or RLHF work. Location: Remote (USA) Compensation: Not provided by employer. Typical compensation for this role is $65,000 – $95,000/year based on specialized PhD expertise, contract nature, and remote US location.
About the Role
We're looking for a Electrochemistry & Functional Materials 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 electrochemistry, functional materials, surface chemistry, and solid-state chemistry
- 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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