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AI Tutor, Physics Specialist

Handshake
🇺🇸Remote - Remote (USA)$120K–$180K/yri14h ago
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Role Snapshot

AI‑generated

AI Tutor and Physics Specialist role focused on evaluating AI model reasoning through rigorous physics problem development and adversarial testing. You'll contribute expert scientific critique to help identify and address gaps in AI reasoning across classical and modern physics domains.

Key Responsibilities: Develop high-difficulty physics prompts across multiple domains (classical mechanics, quantum mechanics, electromagnetism, thermodynamics) and use adversarial techniques to expose model reasoning errors. Assess AI-generated responses for correctness and depth while working with project leads to maintain quality benchmarks.
Skills & Tools: Expert-level physics knowledge with strong analytical and written communication skills. Experience with AI data annotation, RLHF, adversarial prompting, or model evaluation preferred.
Qualifications: PhD in Physics or closely related field with graduate-level expertise across multiple physics areas. Prior hands-on experience in AI data annotation or RLHF required; teaching, tutoring, or AI red-teaming experience strongly preferred.
Location: Remote - Remote (USA)
Compensation: $120K–$180K/yr (estimated)

Job Description

About the Role

We're looking for a Physics Specialist to contribute deep scientific expertise to AI model evaluation. You'll craft and assess challenging physics problems, probe model reasoning at the frontier, and help identify where models fail under rigorous scientific scrutiny.

 

What You'll Do

  • Develop and evaluate high-difficulty physics prompts spanning classical mechanics, quantum mechanics, electromagnetism, thermodynamics, and related areas

  • Use adversarial prompting techniques to expose errors in model reasoning and problem-solving

  • Provide expert critique of AI-generated responses, assessing both correctness and depth

  • Work closely with project leads to uphold quality benchmarks

 

What We're Looking For

  • PhD in Physics or a closely related field

  • Graduate-level expertise across multiple areas of physics

  • 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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