Remote Applied Physics PhD — AI Assessment Architect

Mercor; Philadelphia (Philadelphia County); Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Mercor is seeking expert physicists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions, evaluate solution quality, and help establish gold-standard benchmarks for advancing AI capabilities.

You will work remotely, with an expected commitment of 10+ hours per week, and you may specialize in one of several physics domains while adhering to strict problem-definition guidelines and references.

Qualifications

• PhD or doctoral candidate in Physics, Applied Physics, Astrophysics, or closely related field.
• Strong command of graduate-level physics concepts and mathematical formalism.
• Experience with rigorous academic problem design or physics olympiad writing is a strong plus.

Responsibilities

• Author original physics questions that test deep conceptual understanding.
• Rate each question's difficulty: Medium, Hard, or Expert.
• Provide 1 correct answer and 9 plausible distractors.
• Write step-by-step Chain-of-Thought solutions in markdown format.
• Supply 1–5 academic references per question from reputable sources.
• Flag clarity/solvability issues and justify edits when reviewing questions.

Skills

Physics expertise

Question design

English proficiency

Critical thinking

Education

PhD in Physics

Master's in Physics (exceptional depth)

Tools

LaTeX

Markdown

Job description

Mercor is seeking expert physicists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions, evaluate solution quality, and help establish gold-standard benchmarks for advancing AI capabilities.

You will work remotely, with an expected commitment of 10+ hours per week, and you may specialize in one of several physics domains while adhering to strict problem-definition guidelines and references.