Physics Expert

Physics Expert

Exp:

3+ Years

The requirement is PhD or Master's with publications, with specific sub-domain coverage across each STEM area as below:

* Basic Physics 23

* Condensed Matter 5

* Quantum 5

* Computational 6

* Applied 5

* High Energy & Particle 5

* Astrophysics 45

Role Overview:

We are seeking an AI Training Specialist (Physics) to design rigorous, upper-undergraduatelevel and beyond Physics problems used to train and evaluate frontier AI models. This role focuses on creating realistic, exam-quality tasks that are solvable by humans yet challenging enough to expose failure modes in advanced language models.

Main Responsibilities:

Design and curate upper-undergraduate and graduate-level Physics problems with fully worked, step-by-step solutions.

Create model-breaking tasks that resemble top university coursework but frequently fail frontier AI models.

Customize problem sets according to strict client specifications (SI units, LaTeX formatting, explicit constants, closed-form answers).

Convert multi-part or image-based textbook/exam questions into single, self-contained, text-only problems with one definitive answer.

Write clear, rigorous solution processes and verify consistency across question, reasoning, final answer, and units.

Evaluate model outputs, diagnose common failure modes, and iteratively refine problems to ensure difficulty without sacrificing solvability.

Review and quality-check Physics problems created by others, correcting issues in clarity, correctness, and formatting.

Collaborate with other trainers, reviewers, and project managers to maintain consistent quality at scale.

Required Qualifications:

Master's degree or PhD in Physics or a closely related field.

Strong background in upper-undergraduate Physics or beyond.

Fluent English, with the ability to write precise and unambiguous scientific text.

Strong LaTeX proficiency for mathematical derivations and formatting.

Experience with university teaching, grading, exam design, or research involving analytical problem-solving.

Excellent attention to detail in units, constants, symbols, and notation.

Ability to sanity-check and recompute multi-step quantitative solutions.

Familiarity with modern AI/LLM concepts (e.g., SFT, RLHF, evaluation) and interest in how training data shapes model behavior.

Physics Domain Expertise

Classical Mechanics

Electromagnetism

Thermodynamics & Statistical Physics

Quantum Mechanics

Optics and Modern Physics

Ability to perform multi-step derivations, numerical calculations, and physical plausibility checks

Nice-to-Have:

Prior experience creating content for AI training or standardized testing

Experience designing multiple-choice questions with strong, model-confusing distractors

If Intrested. Please submit your CV to [Confidential Information] or share it via WhatsApp at 8827565832

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