AI Tutor, Electrochemistry & Functional Materials Specialist

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🇺🇸Remote - Remote (USA)$85K–$135K/yri17h ago

Higher Ed Research AI Evaluation Machine Learning Chemistry Expertise Model Evaluation

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Role Snapshot

AI‑generated

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.

Key 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 & Tools: 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 - Remote (USA)

Compensation: $85K–$135K/yr (estimated)

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Job Description

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.)